Skip to main content
Glama

automaton

api_change_check__compare

Compare two OpenAPI 3 JSON specs and get a precise breaking-change report: removed paths, renamed parameters, new required fields, type changes. $0.02 via x402. Price: $0.02 per call in USDC on Base (eip155:8453), paid with x402 in params._meta["x402/payment"]. HTTP: POST https://api.firstmention.uk/s/api-change-check/compare

Input Schema

NameRequiredDescriptionDefault
afterYesThe proposed OpenAPI 3 JSON document
beforeYesThe current OpenAPI 3 JSON document

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well on the operational side: it discloses the exact price ($0.02 USDC on Base, eip155:8453), the x402 auth mechanism and where the payment payload goes (params._meta["x402/payment"]), plus the transport endpoint. It stops short of stating that the operation is read-only/non-destructive and says nothing about spec size limits or whether unresolved $refs cause failures.

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 purpose statement is front-loaded and the payment details follow coherently. There is minor redundancy: the price is stated twice ('$0.02 via x402. Price: $0.02 per call in USDC on Base'), which wastes a clause in an otherwise tight description.

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?

With no output schema, the description must describe returns, and it does enumerate the categories of breaking changes reported. What is missing is the response shape — severity classification, whether unchanged items are included, and ordering — which an agent may need in order to consume the result correctly.

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% and both nested-object parameters are documented as 'current document' and 'proposed document'. The description adds no syntax or format guidance beyond the schema — notably it does not say inputs must be parsed JSON objects rather than URL strings — so the baseline 3 applies.

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?

States a specific verb (compare) and resource (two OpenAPI 3 JSON specs) and enumerates the exact report contents: removed paths, renamed parameters, new required fields, type changes. No sibling in the toolset performs spec diffing, so the agent can identify the right tool without ambiguity.

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

Usage Guidelines3/5

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

Usage is only implied — an agent infers 'use this when you have a before and after spec'. There is no explicit when-not guidance, no statement about whether inputs must be full dereferenced documents vs $ref-laden ones, and no mention of alternatives for non-OpenAPI schemas.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources