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MakeChoice Personality Test and Giving

get_personality_questions

Fetch the 70-question MakeChoice personality test. Each item has id, question, answer_a, and answer_b. mood is how the person feels right now: ang, plea, love, naug, hap, or sadd.

Input Schema

NameRequiredDescriptionDefault
moodNohap

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. 'Fetch' implies a safe read and it discloses the returned item fields, which is useful. But it never explains what effect 'mood' has on the questions returned (filtering? tone?), a key behavioral question for a test-retrieval 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?

Three tight sentences, front-loaded with the resource and count. The mood sentence is somewhat cramped but no sentence is wasted.

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?

It compensates for the absent output schema by listing the four item fields, which is the right call. However, it omits the default value, the effect of mood on output, and any prerequisite/sequencing relative to the sibling scoring tool.

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 coverage is 0%, so the description must compensate. It explains that mood represents the person's current feeling and enumerates the allowed codes — semantics the raw enum lacks — but it doesn't decode the abbreviations or mention the 'hap' default.

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 and resource: fetch the 70-question MakeChoice personality test, plus the shape of each item. It is clearly distinct from score_personality_test in practice, though it never names or contrasts the sibling explicitly.

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?

No when-to-use guidance at all. It doesn't say whether this must be called before score_personality_test, nor under what conditions (e.g., before/after login) it applies, leaving the agent to infer the workflow.

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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