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Tell us how a call went

Reference the call_id of any earlier response and say whether it helped, and optionally why, in a sentence about the result — what was right, missing or wrong. Do not include the user's words, the conversation, or anything about the person. One row per caller per call; lightly rate-limited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoAbout the result only — never the conversation or the user.
call_idYes
outcomeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
call_idNo
recordedNo
doc_notesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already specify readOnlyHint=false, destructiveHint=false, openWorldHint=false, so the safety profile is covered. The description adds two genuine traits beyond them: a uniqueness constraint (one row per caller per call) and rate limiting. It does not, however, say what happens on a duplicate submission or on a call_id that doesn't exist, which matters for a write tool.

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?

Front-loaded with the purpose, then constraints, with no filler. The privacy sentence partially duplicates the `notes` schema description, and the paragraph break mid-thought ("...whether it helped, and optionally why") reads awkwardly, but nothing is wasted.

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?

An output schema exists, so return values need not be explained. The description covers the input contract (call_id sourcing, outcome meaning, notes content rules) and the two operational limits. The only real gap is failure behavior — duplicate rows and invalid call_id — which the description leaves unstated.

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

Parameters4/5

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

Schema description coverage is only 33% (just `notes`), so the description has to carry the rest — and it does: `call_id` is defined as the id "of any earlier response," `outcome` as whether it "helped... what was right, missing or wrong." It also adds a content restriction the schema only partially encodes. It never states the enum values, but the enum is self-explanatory in the schema.

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 concrete action — send feedback about a prior response, keyed by `call_id`, with a helpful/not-helpful verdict. The word "call" is momentarily ambiguous (tool call vs. phone call) until the second sentence clarifies "any earlier response." Siblings are all unrelated discovery tools, so no differentiation burden exists.

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?

It establishes when to use it: after an earlier response you have a `call_id` for. It also gives the operational constraint an agent needs — "One row per caller per call; lightly rate-limited" — which implies you should not spam submissions. No alternatives or explicit exclusions are named, but none meaningfully exist among the siblings.

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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