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MakeChoice Personality Test and Giving

list_donors

Public donor hall of fame for Changing Our Futures. Returns the newest gifts: name, about, amount, and date.

Input Schema

NameRequiredDescriptionDefault
limitNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It discloses that the listing is public and ordered newest-first, which is genuinely useful, but says nothing about pagination, whether the result set is capped, or how the limit parameter affects behavior — a real gap for a list tool with no annotation coverage.

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 tight sentences with the scope and returned fields front-loaded; 'hall of fame' is mild flavor text but does not obscure the meaning.

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?

There is no output schema, so naming the returned fields (name, about, amount, date) does useful work, but the description leaves the input parameter and result-size behavior undocumented, which for a tool whose only knob is limit is an incomplete picture.

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?

The single parameter (limit, default 10, max 50) has 0% schema description coverage, and the description never mentions it. The only partial compensation is naming returned fields, which are output-side, not the input parameter.

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 names the resource (public donor hall of fame / newest gifts) and the verb (Returns), so an agent knows this lists recent donations with the fields name, about, amount, and date. It is not differentiated against siblings, but the siblings (login, personality tests, start_donation) are far enough apart that confusion is unlikely.

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?

There is no statement of when to use this tool versus alternatives such as start_donation, no prerequisites, and no exclusions. The word 'Public' implies no auth is needed, but nothing tells the agent the selection context.

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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