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Catherine Ives-Yim: writing and assessments

List the assessments

list_assessments

The free questionnaire tools on the site and, for one of them, its full question set: modules, questions, answer anchors or options, and the conditions under which a question applies. Use this to put the questions to a user before calling score_assessment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packNoA pack id (ladder, snapshot, strategy, cra) to get its questions; omit for the list.

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?

With no annotations, the description carries the full disclosure burden, and it does well: it explains the branching behavior (omit pack = list, supply pack = that pack's full question set) and enumerates the returned content (modules, questions, anchors/options, applicability conditions). It says nothing about auth, rate limits, or errors, so it is not exhaustive.

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, no filler, and the one-vs-list distinction is front-loaded. The first sentence is burdened by a long appositive enumeration, which slightly hurts readability but is not wasted text.

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 zero-required-param tool with no output schema and no annotations, the description covers both call modes, the return payload contents, and the downstream workflow with score_assessment. Only error/edge behavior and the contents of the list mode itself are left unstated.

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 100%, so the schema already documents the single 'pack' parameter. The description adds only indirect meaning by describing what the pack path returns; it does not name valid pack values or the default omitting behavior beyond what the schema states. 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 states a specific resource (the site's free questionnaire tools) and spells out the two shapes of output: the bare list, or one pack's full question set with modules, questions, anchors and applicability conditions. It is distinguishable from siblings by its pairing note with score_assessment, though the listing verb is only implied 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?

It gives an explicit usage moment and ordering: 'put the questions to a user before calling score_assessment.' That is clear sequencing guidance against a named sibling. It does not state when-not to use it or what to do instead for a score-only need, so it falls short of the top band.

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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