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996.fm perspective graph

Get the transcript around a claim

get_context
Read-onlyIdempotent

The scene around one claim. Spoken: the episode's public transcript, windowed ±90s around the claim's timestamp. Written (an essay): the verbatim excerpt snapshotted at digest plus a link into the original — never the surrounding text, never a live fetch. Quote the receipt — episode + timestamp, or essay link + excerpt — so the founder can check the moment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claim_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With annotations covering safety (readOnly, idempotent, non-destructive, closed-world), the description adds real behavioral context: the ±90s window, that written claims return only the snapshotted excerpt and 'never the surrounding text, never a live fetch' (a staleness caveat). This is meaningful disclosure beyond the annotations without contradicting them.

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?

The scoping statement is front-loaded, and the two retrieval modes are subdivided cleanly. The phrasing is somewhat flourishy ('The scene around one claim') but every clause carries content, and the receipt guidance earns its place.

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?

With no output schema, the description carries the return-value burden well, explaining exactly what comes back for spoken vs written claims. For a one-parameter, read-only tool the only remaining gap is the claim_id format, which is minor at this complexity.

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?

The single parameter claim_id has 0% schema description coverage, so the schema contributes nothing. The description implies a claim carries a timestamp and source (episode or essay), giving context for what claim_id references, but it never specifies the identifier's format or how to obtain it, so it only partially compensates.

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 states a specific resource and scope: it returns the episode transcript windowed ±90s around a claim, or the verbatim essay excerpt plus a link. It distinguishes the two retrieval modes (spoken vs written) clearly. It does not explicitly name or contrast the siblings (find_perspectives, get_stances, etc.), but the returned artifact is unambiguous.

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?

Usage is implied rather than stated: 'so the founder can check the moment' signals this is a verification/receipt tool. However, there is no explicit when-to-use condition relative to the four sibling tools, and no when-not guidance, leaving the agent to infer selection.

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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