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List OpenAPI Specs

list-specs
Read-only

Lists all available OpenAPI specs. Use the title to select a spec.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

The readOnlyHint annotation already indicates this is a safe read operation, and the description is consistent with that. The description adds that it returns 'all' available specs and that the title is the distinguishing field, but it does not disclose return format, ordering, or other behavioral traits. This is adequate given the annotation coverage but not enriched.

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

Conciseness5/5

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

The description is two short sentences, with the primary action stated first. The second sentence adds a practical usage hint without redundancy. Every word earns its place; no fluff or unnecessary detail.

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?

Given the tool's simplicity (zero parameters, no output schema, read-only operation), the description is sufficiently complete. It states what is listed (all OpenAPI specs) and how to use the result (select by title). No additional context is necessary for an AI agent to understand and invoke this tool correctly.

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?

The tool has zero parameters, so the description is not required to explain parameter semantics. Baseline for zero parameters is 4. The comment about selecting a spec by title hints at the output shape rather than input parameters, which is acceptable since there are no parameters to document.

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 uses a specific verb ('Lists') and resource ('all available OpenAPI specs'), making the tool's function immediately clear. It also distinguishes itself from sibling tools like list-endpoints (endpoints vs. specs) and get-endpoint (single endpoint retrieval). The added directive 'Use the title to select a spec' reinforces the purpose.

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?

The usage context is implied rather than explicit: the tool lists all specs so a user can choose one by title. However, there is no explicit statement about when to prefer this over sibling tools, nor any when-not-to-use guidance. This places it at the 'implied usage' level.

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

A4.2/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose: listing specs, listing endpoints, searching endpoints, getting endpoint details, executing requests, and routing operations. Even list-endpoints and search-endpoints are differentiated by organization vs. keyword search, so agents can pick correctly.

Naming Consistency5/5

All tool names follow a consistent verb-noun pattern in snake_case (execute-request, get-endpoint, list-endpoints, list-specs, route-kudosity-operations, search-endpoints). No mixed conventions or vague verbs.

Tool Count5/5

Six tools is well within the ideal range for an API-focused server. Each tool contributes to a clear workflow: discover specs, find endpoints, get details, execute, and plan routing. No redundant or excessive tools.

Completeness5/5

The tool set covers the full lifecycle of API interaction: discovering available specs, locating endpoints, retrieving detailed endpoint info, executing requests, and providing version routing guidance. No obvious gaps for the stated domain.

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