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Glama

Treść wypowiedzi ze stenogramu

tresc_wypowiedzi
Read-onlyIdempotent

Retrieve the full text of one Sejm transcript statement as plain text, split into 12,000-character chunks so long speeches can be read without truncation.

Instructions

Treść jednej wypowiedzi ze stenogramu Sejmu jako zwykły tekst, w porcjach po 12 tys. znaków.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
odNoOd którego znaku zacząć
dataYesDzień posiedzenia (RRRR-MM-DD)
numerYesNumer wypowiedzi z wypowiedzi_posiedzenia
kadencjaNoNumer kadencji Sejmu; domyślnie 10 (bieżąca, od 13 listopada 2023)
posiedzenieYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
uwagiNo
zrodlaYes
kalendarzNo
wynikCzesciowyNoTylko przy wyniku NIEPEŁNYM: powiedz to użytkownikowi na początku

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safe-read profile is covered. The description adds one genuinely useful behavioral fact beyond the schema: output is returned in ~12,000-character chunks, implying pagination. It does not say how an agent knows more content remains or that the od parameter continues the read.

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?

A single front-loaded sentence stating what is returned (statement text), in what form (plain text), and at what granularity (12k-character chunks). No filler.

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 5-parameter read tool with an output schema, return values need not be explained. The main remaining gap is the retrieval workflow: the description mentions chunking but never tells the agent to reuse od to fetch subsequent chunks, nor points to wypowiedzi_posiedzenia for obtaining numer.

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%, so the schema already documents od, data, numer and kadencja in Polish. The description only implicitly touches the od/pagination parameter via 'w porcjach po 12 tys. znaków' and adds no format or syntax detail beyond the schema. Baseline 3 applies.

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 names a specific verb+resource: fetching the full text of a single Sejm transcript statement, as plain text. The phrase 'jednej wypowiedzi' implicitly contrasts with the sibling wypowiedzi_posiedzenia (which lists statements), though that differentiation lives mainly in the schema's numer description, not in the prose.

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?

There is no explicit when/when-not statement or named alternative in the description; usage is only implied by 'jednej wypowiedzi' and the mention of chunking. The cross-reference to wypowiedzi_posiedzenia as the source of the numer value appears only in the parameter schema, not here.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.