◎ Discry Score
cisco.com
devtools · API
C
0 / 100
DISCOVERY0
COMPREHENSION0
Category leader: 96 (A)
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DEVTOOLS · RANK #26 OF 39

Cisco is Needs Work to agents.

Discry independently scored how well an AI agent can discover and understand the Cisco 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.Pass
llms.txtAn llms.txt index that points agents to the docs that matter.Fail
llms.txt qualityThe llms.txt is focused, current, and well under the size budget.Fail
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.Pass
.well-known/mcp.jsonA discoverable MCP manifest at a well-known path.Fail
MCP registryThe API is listed in a public MCP registry.Pass
robots.txt AI directivesrobots.txt allows (or explicitly guides) AI crawlers.Pass
SitemapA sitemap so agents can enumerate the docs surface.Partial

Comprehension

55% of score · 71/100
Task-oriented descriptionsEndpoints described by what they accomplish, not just their shape.Partial
Realistic examplesRunnable, real-world request/response examples.Partial
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.Partial
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.Partial
Token efficiencyDocs are concise enough to fit an agent context window.Partial

What we found

  • Cisco has no llms.txt, llms-full.txt, or .well-known/mcp.json — agents relying on these standard discovery signals will not find Cisco APIs automatically
  • Multiple AGENTS.md files exist across CiscoDevNet repos (Local-RAG-AI-Assistant, cisco-secure-access-python-sdk) showing early adoption of agent-first practices
  • The Meraki API has excellent rate limit documentation with recovery guidance, burst allowances, and best practices — a model for agent-friendly operational docs
  • Strong MCP ecosystem presence with 8+ community servers on Glama and PulseMCP covering Meraki, Webex, ISE, and Catalyst Center
  • OpenAPI spec is publicly maintained at github.com/meraki/openapi with regular releases (v1.70.0 as of May 2026)

What to change

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

  1. 01Add llms.txt at developer.cisco.com covering the major API families (Meraki, Webex, Catalyst Center) with structured descriptions and links to quickstart guides
  2. 02Add llms-full.txt with comprehensive markdown covering core API operations across Cisco's developer platform
  3. 03Create .well-known/mcp.json referencing the community MCP servers or publish an official Cisco MCP server
  4. 04Move sitemap.xml to the standard /sitemap.xml path — currently only referenced via robots.txt at non-standard /data/sitemaps/ paths
  5. 05Add error recovery guidance beyond HTTP status codes — the Meraki error page lacks actionable fix steps for most error scenarios

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.

api_keyoauth2 Error format documented Rate limits documented Pagination documented Idempotency documented

Meraki API documents API key and OAuth 2.0 auth with clear comparison table. Error responses are JSON with errors array. Rate limits well-documented at 10 req/s per org with burst allowance. RFC5988 Link header pagination with startingAfter/endingBefore tokens. No idempotency key support documented.

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