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Documents Search

documents_search
Read-onlyIdempotent

Search IETF Datatracker documents with optional filters for state (e.g. "active"), type (draft | rfc | charter), or name substring; returns document names, titles, and statuses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNodraft | rfc | charter | conflrev | …
limitNo1-1000 (default 20).
offsetNo
statesNoComma-sep state ids (e.g. "active").
name__containsNoSubstring filter on the name.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nextNoURL to next page of results
countNoTotal number of matching documents
resultsNoArray of documents matching the search criteria
previousNoURL to previous page of results

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds useful context by specifying the return fields (names, titles, statuses) and filter categories. It does not mention pagination behavior, rate limits, or other behavioral details, but given the annotations, the bar is lower and this is adequate.

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 a single, front-loaded sentence that states the action, resource, filters, and output. Every word earns its place, with no repetition or filler.

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 description, combined with the rich output schema and safety annotations, gives the agent sufficient context to invoke the tool. It names the filter types and output fields, covering the core use case. A minor gap is that it does not mention pagination or default limit despite having offset/limit parameters, but the schema covers those details.

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 description coverage is 80%, and the schema already explains each parameter (e.g., type values, states format, limit range). The description echoes the filter names but does not add semantics beyond what the schema provides. This meets the baseline but does not exceed it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Search'), the resource ('IETF Datatracker documents'), and the output ('document names, titles, and statuses'). It specifies optional filters, which helps define scope. However, it does not distinguish this tool from sibling tools like 'rfc' or 'document', so it falls short of a 5.

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 description implies usage for searching IETF documents with filters, but it does not provide explicit guidance on when to prefer this tool over alternatives or when not to use it. No alternatives are mentioned, and sibling tools like 'rfc' and 'wg' exist but are not referenced.

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

B3.4/5.0
Disambiguation2/5

Several tools have overlapping or poorly distinguished purposes. For instance, `ask_pipeworx` and `ask_pipeworx_beta` have nearly identical descriptions, and `ask_pipeworx_grounded` also shares the same routing but adds a different output format. The `ai_visibility_check` and `scan_competitor_ai_presence` tools also overlap significantly.

Naming Consistency3/5

There is some consistency with verb_noun patterns (e.g., `resolve_entity`, `search_within`, `subscribe`, `unsubscribe`). However, there are many deviations: `ask_pipeworx`, `pipeworx_feedback`, `pipeworx_trending`, `entity_profile`, `scan_dependency`, and `polymarket_edges` break the pattern, mixing descriptive names with non-standard prefixes.

Tool Count4/5

37 tools is slightly above the ideal range for a single MCP server, but the tools cover a very broad and varied domain (IETF data, company research, prediction markets, package scanning, memory, etc.). The count is high but still within a manageable scope for a multi-purpose utility server.

Completeness2/5

The server combines tools from two very different domains: IETF Datatracker (document/WG/person lookups) and Pipeworx (data retrieval, prediction markets, company analysis). The IETF-related tools are sparse and incomplete (only document search, document, person, wg, wgs_search, rfc are present—no ability to create or modify records). The Pipeworx side is extensive but leaves notable gaps (e.g., no tool for submitting comments or editing IETF documents).