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What changed recently (manifest log)

gaip_manifest_changes
Read-onlyIdempotent

Use this when asked which MCP servers or agents changed recently ("what changed this week?"). Optional since (RFC 3339), target_id, limit (max 100). Returns the Observatory's hash-chained log of manifest changes: before/after hashes, neutral facts, receipts. Free, read-only, no account; inputs must be public and non-personal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional: maximum entries (1-100).
sinceNoOptional: RFC 3339 time, e.g. 2026-09-01T00:00:00Z.
target_idNoOptional: an Observatory target id (obs_...).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / limit / description
      Added value: +"Optional: maximum entries (1-100)."
    • addedInput schema / properties / since / description
      Added value: +"Optional: RFC 3339 time, e.g. 2026-09-01T00:00:00Z."
    • addedInput schema / properties / target_id / description
      Added value: +"Optional: an Observatory target id (obs_...)."
  2. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/non-openWorld, and the description adds genuinely new context: the log is hash-chained with before/after hashes, neutral facts and receipts, and no account is required. It does not discuss pagination or how far back the log goes, which would push it to 5.

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?

Two sentences, use-case front-loaded, parameter list compact. No filler, though the parameter enumeration is largely redundant with the schema.

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?

No output schema exists, but the description explains the return payload (before/after hashes, neutral facts, receipts), plus auth and input constraints. An agent has enough to call it correctly; only paging/limits on depth are unspecified.

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 all three parameters are already documented. The description restates their names and formats rather than adding syntax or edge-case meaning (e.g., behavior when target_id matches nothing, or timezone handling), so baseline 3 applies.

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

Purpose4/5

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

Names a specific resource (the Observatory's manifest-change log) and the verb (retrieve what changed), and the title/description combination makes the output kind explicit (hash-chained log with before/after hashes). It does not explicitly contrast itself with siblings like gaip_watch_events or gaip_observatory_lookup, so 4 rather than 5.

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

Usage Guidelines4/5

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

Gives a concrete trigger scenario ('what changed this week?') that an agent can pattern-match, plus preconditions (free, read-only, no account, inputs must be public and non-personal). It stops short of naming when to prefer a sibling tool instead, so no exclusion guidance.

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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