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Glama

404.directory

by io.github.MM-sheng

Search official developer documentation

search_official_docs
Read-onlyIdempotent

Search current first-party OpenAI, Microsoft Learn, AWS, and Cloudflare documentation in one call. Use this as the default documentation research tool for questions involving any of those providers, especially comparisons or cross-cloud architecture. Select only relevant sources when the provider is known; omit sources to search all four in parallel. Returns each provider result separately with partial-failure reporting and provenance. No account or API key is required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesTechnical question or search phrase. Preserve exact API names and error messages. Never include secrets, credentials, private code, or personal data.
sourcesNoRelevant official providers. Omit to search OpenAI, Microsoft, AWS, and Cloudflare in parallel.
limit_per_sourceNoMaximum requested results per provider where the upstream server supports a limit.

Schema Changelog

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

  1. Added

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already provide readOnlyHint, idempotentHint, and destructiveHint. The description adds valuable behavioral details beyond that: partial-failure reporting, parallel execution across sources, per-source result separation, and no-auth requirement. This goes beyond the annotations without contradicting them.

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 concise and front-loaded, with the core purpose in the first sentence)Skip. Every sentence adds operational value: default usage, source selection, parallel behavior, error handling, and auth requirement. No redundant or filler content.

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?

The tool is moderately complex with multiple providers, sources, and a limits parameterikuha. The schema covers parameters thoroughly, annotations cover safety traits, and the description covers behavior, use cases, and error semantics. No substantial gaps remain.

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 input schema has 100% description coverage for all parameterscars, so the schema already explains query, sources, and limit_per_source. The description adds context about parallel execution and source selection behavior that complements the schema, but does not add much new parameter-specific detail.

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 clearly states the tool searches current first-party documentation from four named providers in one call, using a specific verb and resource. It distinguishes itself from siblings by specifying the provider set and the cross-provider research use case.

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?

The description explicitly says when to use this tool ('default documentation research tool for questions involving any of those providers'), provides guidance on selecting sources, and explains the optional behavior of omitting sources to search all four in parallel. This is clear and actionable.

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
Disambiguation4/5

Tools are mostly distinct with clear descriptions. Potential overlap exists among search_tools, recommend_tools, list_capabilities, and get_capability_graph, but each serves a different purpose (query vs. recommendation vs. high-level list vs. relational graph). inspect_tool_server vs. get_tool (server vs. tool) and verify_web vs. understand_webpage (reachability vs. content) are clearly separated. Minor ambiguity between list_capabilities and get_capability_graph, but descriptions clarify.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (e.g., compare_tools, get_tool, search_tools, verify_web). No mixing of camelCase or inconsistent styles. The naming is uniform and predictable.

Tool Count5/5

12 tools is within the ideal 3-15 range and appropriate for a directory service that provides search, retrieval, comparison, recommendation, inspection, invocation, and web verification. The count is comprehensive without being overwhelming, and each tool adds distinct value.

Completeness4/5

The tool set covers core directory operations (search, get, compare, recommend) and additional utilities (inspect, invoke, trust score, capability graph). It lacks a direct 'list all tools' or 'list all servers' endpoint, but search_tools and list_capabilities can approximate this. The inclusion of web verification and understanding tools extends beyond the catalog domain, but they are useful adjuncts. Overall, the surface is well-rounded with minor gaps.

Resources