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List Endpoints

list_endpoints
Read-only

List all endpoints of an API specification. Optionally filter by version. Set scope to 'project' to look across every spec in the project instead — that returns the groups of endpoints colliding on method and path (gateway routing conflicts) plus counts, not the full list, and specId is then ignored. Requires project context (call set_context first).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skipNoNumber of endpoints to skip (for pagination, default 0)
takeNoNumber of endpoints to return (default 50, max 100)
scopeNoWhat to look at: 'spec' (default) or 'project'spec
specIdYesPublic ID (GUID) of the API specification
versionIdNoOptional version ID (GUID) to filter endpoints by a specific version

Schema Changelog

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

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the description adds value by disclosing that project scope returns a different shape (groups of colliding endpoints + counts) and that specId is ignored. It also mentions the set_context prerequisite. No contradiction; the added behavioral detail is useful but doesn't cover return format or pagination behavior.

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?

Two sentences with no redundancy. The core action is front-loaded, then the optional filter, then the project-scope nuance and prerequisite. Every clause carries information.

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?

The tool has 5 parameters and no output schema. The description covers the main behavior, the special project scope, and the context requirement. It doesn't describe the return format for the default spec scope, which might be helpful, but the schema covers pagination and the sibling list tools suggest a standard array response. Slightly incomplete but strong overall.

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%, so the baseline is 3. The description adds meaning to the 'scope' parameter by explaining what 'project' returns and that it overrides specId. It also clarifies versionId's filtering role. This goes beyond the schema's parameter descriptions.

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 ('List') and resource ('endpoints of an API specification'), with optional filters. Clearly distinguishes from siblings like list_specs and get_endpoint by naming the resource and the project-scope alternative.

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?

Explicitly explains when to use project scope ('to look across every spec in the project') and what it returns (conflicts and counts, not full list), plus notes specId is ignored and that set_context must be called first. Provides clear exclusions and prerequisites.

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

A3.9/5.0
Disambiguation4/5

The tools are mostly distinct with clear descriptions. Some pairs like get_header_policies vs get_resolved_headers or get_environment_verification vs get_monitoring_sync_status could be slightly confusing, but the descriptions clarify scope and purpose.

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern (get_, list_, create_, update_, manage_, etc.). Even the few bare verbs like 'search' and 'set_context' are consistent with the naming scheme.

Tool Count1/5

With 165 tools, the server is extremely heavy. This far exceeds the 'too many' threshold of 25+, making it difficult for an agent to navigate and select the right tool efficiently.

Completeness5/5

The tool surface covers a very broad API lifecycle domain: specs, environments, test cases, monitors, mock servers, security, governance, documentation, and team management. Read and write operations are present across most areas, with no obvious missing core functionality.

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