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polls.karbach.digital

search_speeches

Search Bundestag plenary speeches by member, keyword and date: speaker, date, excerpt, protocol PDF.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo
memberNo
from_dateNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses the result fields (speaker, date, excerpt, protocol PDF), which is real behavioral value, but says nothing about ranking, default limit behavior, pagination, or the cost of broad queries.

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

Conciseness4/5

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

A single tightly packed sentence with the core action front-loaded and no wasted words. The trailing colon-list of return fields is terse but slightly list-like rather than prose, keeping it just short of ideal.

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?

With no output schema, the description helpfully names the returned fields, which covers the biggest gap. However, for a four-parameter search tool with zero annotation and zero schema-description coverage, the absence of filter-interaction rules and limit semantics leaves the definition only minimally complete.

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 0%, so the description must compensate. It maps natural-language concepts (member, keyword, date) onto three of the four parameters, giving the agent useful semantic grounding, but the `limit` parameter and the date format for `from_date` remain entirely undocumented.

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?

States a specific verb (Search) and resource (Bundestag plenary speeches) and enumerates the filter dimensions (member, keyword, date). It is clearly distinguishable from siblings like search_documents or search_poll_archive by domain, though it never names an alternative explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use or when-not-to-use guidance. The agent is not told how this differs from search_documents, whether member/query are combinable, or what happens when all filters are omitted.

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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