Revuo

tools.changes

Read-only

Detect whether a product's MCP tool schema has DRIFTED since you cached it — rug-pull / tool-poisoning detection (a server silently changing a tool's description or input schema after you approved it; web search structurally cannot answer this). Pass the product slug and EITHER the schema hash you cached earlier (knownHash, from products.get_mcp_setup → server.schema.hash — the strongest signal: an exact mismatch means the tools changed) OR the ISO-8601 timestamp you cached at (since). With neither, it returns the current fingerprint to cache for next time. A product may expose MULTIPLE servers: knownHash is per-server, so pass server (a qualifiedName) with knownHash on a multi-server product — otherwise knownHash is applied only when there's exactly one server. Re-verify before trusting a previously-approved tool. Response: { product, hasMcpSupport, drifted (did ANY tracked server change vs your reference; null when no reference given), servers[] (each: qualifiedName, currentSchemaHash, schemaStable, lastSchemaChangeAt, toolCount, directlyProbed, driftedSinceKnownHash, driftedSince, advice) }. Errors: { error: { code: 'not_found'|'bad_input', ... } }.

Input Schema

TableJSON Schema

Name	Required	Description
`slug`	Yes	Product slug whose MCP tool schema to check.
`since`	No	ISO-8601 timestamp you last cached at. Reports whether a schema change was recorded after it.
`server`	No	The server qualifiedName your knownHash belongs to. Required with knownHash on a multi-server product.
`knownHash`	No	The schema hash you cached earlier (products.get_mcp_setup → server.schema.hash). Exact-mismatch drift signal.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`error`	No
`drifted`	No
`message`	No
`product`	No
`servers`	No
`hasMcpSupport`	No

TDQS

A4.6/5.0

Behavior5/5

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

Annotations already declare readOnlyHint and openWorldHint, and the description adds detailed behavior: multi-server handling, error codes, response fields like drifted and advice. No contradiction.

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?

The description is well-structured with purpose first, then usage, parameters, response. It is somewhat lengthy but each part adds necessary detail for a complex tool. Could be slightly more concise.

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

Completeness5/5

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

With 4 parameters, output schema, and annotations, the description covers all necessary aspects: usage scenarios, multi-server handling, error codes, response fields. No gaps identified.

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

Parameters4/5

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

Schema coverage is 100%, and the description further clarifies the conditional usage of parameters (EITHER knownHash OR since, server qualification) and the meaning of each, adding value beyond the schema.

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?

The description starts with a specific verb and resource ('Detect whether a product's MCP tool schema has DRIFTED since you cached it'), clearly distinguishing from sibling tools like tools.get or tools.find_for_task by focusing on drift detection.

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?

It explains when to use (before trusting a previously-approved tool) and provides conditional logic for parameters (use knownHash or since, or neither to cache). It does not explicitly mention alternatives among siblings, but the use case is distinct.

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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TDQS

A4.4/5.0

Disambiguation4/5

The namespace grouping separates products, tools, taxonomy, and rankings cleanly, and each tool's description points to its intended query mode. Some overlap exists between products.search and products.find_by_capability, and between tools.search and tools.find_for_task, but the descriptions are detailed enough that an agent can usually pick correctly. categories.list and directory.overview also overlap, though directory.overview is explicitly marked as the preferred entry-point.

Naming Consistency4/5

The set follows a predictable `resource.action` dotted convention, with all-lowercase names and snake_case within actions. Minor deviations such as `directory.overview`, `tools.changes`, and `mcp.score_server` mix noun actions and verb+object phrases, but the overall pattern remains readable and easy to guess.

Tool Count4/5

14 tools is appropriate for a read-only directory covering products, capabilities, rankings, MCP setup, and tool discovery. The count is slightly high because the search/find family has several close variants, but each variant has a distinct query style and use case.

Completeness5/5

The surface covers the domain thoroughly: taxonomy, product search and details, capability lookup, agent-readiness scoring, rankings, MCP setup, tool discovery, and schema-drift detection. Cross-references such as products.get_mcp_setup supplying the hash consumed by tools.changes close the main workflow loops without dead ends.

Resources

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