◎ Discry Score
plivo.com
communication · API
B
0 / 100
DISCOVERY0
COMPREHENSION0
Category leader: 98 (A)
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COMMUNICATION · RANK #9 OF 24

Plivo is Good to agents.

Discry independently scored how well an AI agent can discover and understand the Plivo API from what’s public — not whether it’s usable. Below: every signal we checked, what’s costing the score, and what to change.

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SCORED UNDER RUBRIC 1.2 · A full re-launch under Discry Score 2.5 — a new behavioral instrument, not comparable to these scores — is in progress.

Discovery

45% of score · 62/100
OpenAPI specA machine-readable OpenAPI/Swagger spec agents can parse.Partial
llms.txtAn llms.txt index that points agents to the docs that matter.Pass
llms.txt qualityThe llms.txt is focused, current, and well under the size budget.Pass
llms-full.txtA full-text bundle agents can load in one request.Fail
AGENTS.mdAn AGENTS.md that tells coding agents how to build on the API.Fail
.well-known/mcp.jsonA discoverable MCP manifest at a well-known path.Fail
MCP registryThe API is listed in a public MCP registry.Partial
robots.txt AI directivesrobots.txt allows (or explicitly guides) AI crawlers.Pass
SitemapA sitemap so agents can enumerate the docs surface.Pass

Comprehension

55% of score · 100/100
Task-oriented descriptionsEndpoints described by what they accomplish, not just their shape.Pass
Realistic examplesRunnable, real-world request/response examples.Pass
Multi-step workflowsDocs that chain calls into complete jobs an agent can follow.Pass
Error-recovery guidanceDocumented failure modes and how to recover from them.Pass
Answer-first formatThe answer leads; preamble does not bury it.Pass
Capability boundariesClear limits — what the API can and cannot do.Pass
Naming consistencyConsistent, predictable naming across endpoints.Pass
Heading hierarchyClean heading structure agents can navigate.Pass
Markdown docsDocs available as clean markdown, not JS-rendered HTML only.Pass
Token efficiencyDocs are concise enough to fit an agent context window.Pass

What we found

  • An agent landing on Plivo's docs gets near-ideal comprehension: the site runs on Mintlify, exposes both a root llms.txt and a dedicated /docs/llms.txt documentation index, and every page renders to clean markdown with a banner pointing agents to the index — so an agent never has to scrape JS-rendered HTML.
  • Endpoint pages are answer-first and task-oriented ('Send an SMS, MMS, or WhatsApp message to one or more recipients') with realistic, copy-pasteable examples in eight languages (cURL, Python, Node.js, Ruby, PHP, Java, .NET, Go) and consistent snake_case field naming throughout.
  • Error recovery is a standout: the Messaging overview maps 400/401/404/429/500 to specific causes AND solutions, and the dedicated error-codes page gives every code a reason plus concrete next steps (use short codes, implement exponential backoff, verify E.164 format, check WABA status) — exactly the self-correction guidance agents need.
  • Discovery is the weak dimension: no llms-full.txt, no /.well-known/mcp.json, and no AGENTS.md in the primary SDK repos, so coding agents working in a repo get no Plivo-specific guidance file.
  • Plivo ships an official MCP server (github.com/plivo/mcp, with a /docs/faq/developer-tools/mcp-server page), but it could not be confirmed as listed in a major MCP registry (Glama/Smithery/PulseMCP), and there is no standard OpenAPI/Swagger spec — only a public Postman collection — so programmatic spec ingestion is harder than it should be.

What to change

Prioritized by impact on discoverability. You (or your docs platform) deploy these — Discry never touches your API.

  1. 01Publish a standard OpenAPI/Swagger spec at a stable, public URL (e.g. /openapi.json) and link it from the docs. This is the single highest-impact discovery fix (weight 5) — it turns the existing Postman collection into a tool-generatable, machine-ingestable contract.
  2. 02Add an AGENTS.md to the primary SDK repos (plivo-python, plivo-node, etc.) with setup, auth, and code-conventions guidance. It's a rising standard (weight 3) and a quick win for coding agents.
  3. 03List the official Plivo MCP server in the major registries (Glama, Smithery, PulseMCP) so agents discovering tools by registry can find it without crawling GitHub.
  4. 04Ship an llms-full.txt (or expand /docs/llms.txt into a full-content variant) so agents can pull complete API usage content in one fetch rather than following dozens of links.
  5. 05Publish specific messaging rate-limit numbers and the rate-limit response header names (alongside the existing 429 guidance) so agents can implement precise backoff rather than blind retries.

Execution coverage · INFORMATIONAL, UNSCORED

Whether an agent can actually complete a call and recover from errors is the deeper Audit layer — documented here, but not part of the Discry Score.

HTTP Basic Auth (Auth ID as username, Auth Token as password)SIP authentication (IP ACL / credentials, for voice/SIP trunking) Error format documented Rate limits documented Pagination documented Idempotency documented

Execution characteristics are documented to a high standard: machine-parseable JSON responses with an api_id and numeric error_code, an HTTP status-code table, offset/limit pagination with a meta object (next/previous/total_count), and HTTP Basic Auth with copy-pasteable examples. Rate limiting is acknowledged (429 + exponential backoff guidance, plus a voice Account Limits page covering CPS/concurrency), though specific per-account messaging rate-limit numbers are not published. Idempotency keys are not mentioned anywhere in the scanned docs.

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