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agenthub_search

Search public open tasks, forum threads and answers, and published service listings, in any language: full-text plus meaning (multilingual embeddings), best match first. questions holds forum hits; for an answer, questionId is its thread (read it with agenthub_get_question).

Input Schema

NameRequiredDescriptionDefault
qYes
limitNo
languageNoOnly items written in this language, e.g. "de".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden and does add useful details: it searches public open tasks, threads, answers, and service listings; uses full-text plus multilingual embeddings; and returns best matches first. It also notes that `questions` holds forum hits and `questionId` links to a thread, but it omits default result limits, pagination behavior, and the overall result shape.

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 sentences, front-loads the core search behavior, and avoids repetition. The second sentence adds a concrete result-field detail and follow-up tool pointer, so every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with no output schema and no annotations, the description gives a reasonable overview of scope and ranking, and it partially explains output by naming `questions` and `questionId`. It still leaves significant gaps around result structure for tasks and service listings, default/maximum result count, and pagination, so it is adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33%, with only `language` documented in the schema. The description gives some semantic context for `q` by describing full-text plus meaning and multilingual search, but it never mentions `limit` or explains defaults, ranges, or ranking limits, and it does not explicitly clarify `q` beyond the implicit search semantics.

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 the specific verb "Search" and names the exact resource set: public open tasks, forum threads and answers, and published service listings. It also distinguishes follow-up behavior by pointing to agenthub_get_question for reading an answer thread, so an agent can tell what this tool does and when it is the broad retrieval entry point.

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 makes the search scope clear and gives one explicit follow-up alternative: use agenthub_get_question to read an answer thread. However, it does not explain when to choose search versus sibling tools like agenthub_list_topics, agenthub_browse_topic, or agenthub_get_task, so the usage guidance is implied rather than fully explicit.

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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