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Customer feedback interview planner

toolfound_feedback_interview_planner
Read-onlyIdempotent

Create a bounded interview plan and evidence log from a learning goal, participant count, and available time. Returns an evidence-bounded result and the canonical web tool URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYes
stageYes
minutesYes
participantsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataNo
linksYes
errorsNo
summaryYes
sectionsYes
canonical_result_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered and the description does not contradict it. The description adds that the plan is 'bounded' and that a canonical web tool URL is returned, which is modest extra context, but 'bounded' is never explained and no limits, rate behavior, or failure modes are disclosed.

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 the core action, and no filler. The second sentence partly duplicates what the output schema already conveys, which slightly dilutes an otherwise efficient structure.

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?

An output schema exists, so return values do not need explaining, but with four required parameters at 0% schema coverage the description leaves 'stage' undocumented and gives no parameter semantics. For a tool this input-bounded, that gap keeps it at minimum-viable completeness rather than fully sufficient.

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

Parameters2/5

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

Schema description coverage is 0%, so the description carries the burden for four required parameters. It mentions three (goal, participants, time) but ignores 'stage' entirely, and adds no formats, ranges, or meaning beyond the parameter names - noting nothing about valid 'stage' values or that counts are passed as strings.

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 ('Create') and two concrete artifacts ('interview plan and evidence log'), plus the inputs that drive them, so an agent can distinguish this from sibling planning tools like distribution_plan or launch_review. It stops short of naming any sibling or scoping boundary, so it earns a solid 4 rather than a 5.

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

Usage Guidelines2/5

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

The description never says when to reach for this tool versus alternatives such as launch_review or distribution_plan, nor does it state prerequisites or exclusions. The only context is an implicit 'you have a learning goal, participants, and time', which is a restatement of the required inputs rather than usage 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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