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MakeChoice Personality Test and Giving

score_personality_test

Score the personality test and save it on the logged-in member. access_token comes from login. answers is 70 letters a or b in question order, or objects {id, answer}. A new result can be saved 30 days after the previous one. Returns personality_code, personality_name, characteristics, strengths, weaknesses, saved, and result_id.

Input Schema

NameRequiredDescriptionDefault
moodNohap
answersYes
access_tokenYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and delivers: it is a mutating operation that persists a result to the logged-in member, requires an access_token sourced from login, and enforces a 30-day cooldown between saves. This is substantive behavioral context an agent could not infer from the schema.

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?

Four tight sentences, front-loaded with the core action, then auth, input format, constraint, and returns. Nearly every clause earns its place, though the return-field list is long for a tool with no 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?

With no output schema and no annotations, the description usefully enumerates return fields (personality_code, personality_name, characteristics, etc.) and discloses the mutation and rate limit. The only meaningful gap is the undocumented mood parameter.

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%, so the description must compensate. It does for answers (70 a/b letters in question order, or {id, answer} objects) and access_token (source), but the optional mood parameter with its enum is never mentioned, leaving one of three params undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Score the personality test and save it on the logged-in member'), clearly distinguishing it from the read-only sibling get_personality_questions. An agent can identify the operation without opening the schema.

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?

Points to the sibling tool for auth ('access_token comes from login') and states a hard usage constraint (a new result can only be saved 30 days after the previous one). It does not say when to prefer this over get_personality_questions, but the routing and precondition info is strong.

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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