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validate_manifest

Read-onlyIdempotent

Audit a public origin across 37 agent manifests (24h KV cache; fresh: true re-probes live with 5-min cooldown, 30/min limit) or validate local file text in-memory before deploy (pass id + content, no network fetch). Returns { grade (A+ to F), score, subscores, conformance_summary, connect_recipe, permissions, manifests }; combine verify: true (live MCP/A2A handshakes), bridge: true (ARD cross-manifest check), diff: true (score_delta vs prior snapshot), or brief/compact payload trimming. Use validate_manifest for conformance grading and local linting; use probe for ungraded discovery or template to generate starter files.

Input Schema

NameRequiredDescriptionDefault
idNomanifest id or filename (ard, ai-catalog-well-known-file, mcp-server-cards, a2a, llms-txt, agents-md, anthropic-agent-skills-format, api-catalog-rfc9727, ai-crawler-tokens-robots, security-txt, auth-md, okf)
diffNotrue: compare the current report against the previous KV cached snapshot or bundled census baseline (score_delta, manifests_added/removed/changed, new_errors)
briefNotrue: return concise routing, callable endpoints, subscores, and permissions only
freshNotrue: bypass the 24h KV cache and re-probe live (5-minute per-origin cooldown)
bridgeNotrue: fetch and validate each entry inside /.well-known/ard.json or ai-catalog.json against its target spec and check cross-manifest coherence
originNopublic hostname to fetch (optional when passing content + id for local pre-commit validation)
verifyNotrue: actively handshake declared MCP and A2A endpoints and withhold credit for dead endpoints
compactNotrue: omit nested probe packet and absent manifests
contentNoraw local JSON, Markdown, or text content to validate in-memory without network fetches
content_typeNooptional Content-Type header when validating local content

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / bridge
      Added value: +{
      +  "description": "true: fetch and validate each entry inside /.well-known/ard.json or ai-catalog.json against its target spec and check cross-manifest coherence",
      +  "type": "boolean"
      +}
    • addedInput schema / properties / diff
      Added value: +{
      +  "description": "true: compare the current report against the previous KV cached snapshot or bundled census baseline (score_delta, manifests_added/removed/changed, new_errors)",
      +  "type": "boolean"
      +}
    • addedInput schema / properties / verify
      Added value: +{
      +  "description": "true: actively handshake declared MCP and A2A endpoints and withhold credit for dead endpoints",
      +  "type": "boolean"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / fresh
      Added value: +{
      +  "description": "true: bypass the 24h KV cache and re-probe live (5-minute per-origin cooldown)",
      +  "type": "boolean"
      +}
  3. Changed8 schema fields changed
    • addedInput schema / properties / content
      Added value: +{
      +  "description": "raw local JSON, Markdown, or text content to validate in-memory without network fetches",
      +  "maxLength": 131072,
      +  "type": "string"
      +}
    • addedInput schema / properties / content_type
      Added value: +{
      +  "description": "optional Content-Type header when validating local content",
      +  "maxLength": 120,
      +  "type": "string"
      +}
    • addedInput schema / properties / id / description
      Added value: +"manifest id or filename (ard, ai-catalog-well-known-file, mcp-server-cards, a2a, llms-txt, agents-md, anthropic-agent-skills-format, api-catalog-rfc9727, ai-crawler-tokens-robots, security-txt, auth-md, okf)"
    • removedInput schema / properties / id / enum
      Removed value: -[
      -  "ard",
      -  "ai-catalog-well-known-file",
      -  "mcp-server-cards",
      -  "a2a",
      -  "llms-txt",
      -  "agents-md",
      -  "anthropic-agent-skills-format",
      -  "api-catalog-rfc9727",
      -  "ai-crawler-tokens-robots",
      -  "security-txt",
      -  "auth-md",
      -  "okf"
      -]
    • addedInput schema / properties / id / maxLength
      Added value: +80
    • addedInput schema / properties / id / minLength
      Added value: +1
    • addedInput schema / properties / origin / description
      Added value: +"public hostname to fetch (optional when passing content + id for local pre-commit validation)"
    • removedInput schema / required
      Removed value: -[
      -  "origin"
      -]
  4. Changed1 schema field changed
    • addedInput schema / properties / brief
      Added value: +{
      +  "description": "true: return concise routing, callable endpoints, subscores, and permissions only",
      +  "type": "boolean"
      +}
  5. Changed1 schema field changed
    • changedInput schema / properties / compact / description
      Previous value: -"true: omit the nested raw probe packet and absent manifest entries (~80% smaller payload)"New value: +"true: omit nested probe packet and absent manifests"
  6. Changed1 schema field changed
    • addedInput schema / properties / compact
      Added value: +{
      +  "description": "true: omit the nested raw probe packet and absent manifest entries (~80% smaller payload)",
      +  "type": "boolean"
      +}
  7. Changed1 schema field changed
    • changedInput schema / properties / id / enum
      Previous value: -[
      -  "ard",
      -  "ai-catalog-well-known-file",
      -  "mcp-server-cards",
      -  "a2a",
      -  "llms-txt",
      -  "agents-md",
      -  "anthropic-agent-skills-format",
      -  "api-catalog-rfc9727",
      -  "ai-crawler-tokens-robots",
      -  "security-txt",
      -  "auth-md"
      -]New value: +[
      +  "ard",
      +  "ai-catalog-well-known-file",
      +  "mcp-server-cards",
      +  "a2a",
      +  "llms-txt",
      +  "agents-md",
      +  "anthropic-agent-skills-format",
      +  "api-catalog-rfc9727",
      +  "ai-crawler-tokens-robots",
      +  "security-txt",
      +  "auth-md",
      +  "okf"
      +]
  8. Changed1 schema field changed
    • changedInput schema / properties / id / enum
      Previous value: -[
      -  "ard",
      -  "ai-catalog-well-known-file",
      -  "mcp-server-cards",
      -  "a2a",
      -  "llms-txt",
      -  "agents-md",
      -  "api-catalog-rfc9727",
      -  "ai-crawler-tokens-robots",
      -  "security-txt",
      -  "auth-md"
      -]New value: +[
      +  "ard",
      +  "ai-catalog-well-known-file",
      +  "mcp-server-cards",
      +  "a2a",
      +  "llms-txt",
      +  "agents-md",
      +  "anthropic-agent-skills-format",
      +  "api-catalog-rfc9727",
      +  "ai-crawler-tokens-robots",
      +  "security-txt",
      +  "auth-md"
      +]
  9. First observed

TDQS

A4.1/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, openWorld, non-destructive, so the safety profile is covered. The description nonetheless adds genuinely useful operational context the annotations cannot: 24h KV cache, 5-minute per-origin cooldown on fresh, 30/min rate limit, and that verify withholds credit for dead endpoints. Return shape is also enumerated (grade, score, subscores, conformance_summary, connect_recipe, permissions, manifests), which is valuable given no output schema exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the primary action and appropriately sized for a 10-parameter tool; nearly every clause carries information. It is, however, a single run-on sentence with stacked parentheticals, which makes it denser to parse than it needs to be.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers both invocation modes, the key modifiers, caching/cooldown/rate-limit constraints, and the return payload — enough to call it correctly with no output schema available. The only soft spot is that the interaction between diff and a prior snapshot baseline is stated but not fully defined (where the baseline originates).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so every parameter is already documented; baseline is 3. The description does add mode-combination guidance (verify, bridge, diff, brief/compact) and the rate/cooldown consequences of fresh that the schema only hints at, but it does not add syntax or format detail beyond the schema text.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb+resource (audit an origin's manifests, grade it) and covers the second mode (in-memory local validation) in the same breath. It explicitly contrasts with siblings probe and template, so an agent can choose without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The final sentence states the routing rule directly: conformance grading and local linting here, ungraded discovery via probe, starter scaffolding via template. The two invocation modes are also gated by concrete conditions (pass origin to fetch; pass id + content to avoid network).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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