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Get talk with slide text

aitho_get_talk
Read-onlyIdempotent

For reading the real text of every slide in a talk, as the basis for writing or reviewing a speaker script or building practice questions. Returns one talk in full, including the extracted text of every slide: per-slide {slide, text, hasScript, script}, the title, the slide count and the names of attached Q&A documents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
talk_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, closed world), so the description's job is to add what they can't. It does this well by disclosing the return contents: per-slide {slide, text, hasScript, script}, title, slide count, attached Q&A names. That is genuinely useful since no output schema exists.

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?

Two sentences, front-loaded with purpose before the return-shape detail, and no filler. The return-shape sentence is dense but every clause carries information an agent needs given the absent output schema.

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?

For a simple single-parameter read tool with no output schema, the description supplies the missing return contract and the intended use case. Only omission is how to source talk_id, which is a small gap for an otherwise complete definition.

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% and the single required parameter talk_id is never elaborated in the description (no format, source, or how to obtain it). With one self-evident identifier this is a minor gap, but the description adds no meaning beyond the schema's type declaration.

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 and resource ('reading the real text of every slide in a talk') and signals the use case (speaker script, practice questions). It implicitly distinguishes itself from get_script and get_deck by focusing on slide text, but never names those siblings explicitly, so the differentiation is inferred rather than stated.

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

Usage Guidelines4/5

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

Gives clear when-to-use context: as the basis for writing/reviewing a speaker script or building practice questions. It does not name alternatives (e.g. get_script for script-only reads, list_talks for discovery) or state when-not-to-use, so it stops short of full routing guidance.

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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