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get_answer

Read-onlyIdempotent

Returns an answer to a question about Milwaukee neighborhoods, computed from public data: the answer sentence, the metric, period and source, how it was measured, what would change it, and the full ranked tables of City neighborhoods and suburbs. With no slug, returns the list of questions. Answers say what is measured, never where a kind of person should live. Cite the url.

Input Schema

NameRequiredDescriptionDefault
slugNoAnswer slug from the list, for example highest-voter-turnout-2024. Leave out for the list.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, closed-world, non-destructive, so the safety bar is low; the description nonetheless adds real context: the exact response contents, the editorial constraint that answers describe what is measured rather than prescribing where people should live, and the expectation to cite the url. It stops short of 5 because error behaviour (invalid slug) and result size are unmentioned.

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?

It is front-loaded with the core action and each clause carries information the agent needs, including the return payload and the citation requirement. The mid-sentence enumeration is dense and the final 'Cite the url.' is clipped, but nothing is genuinely wasteful.

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?

There is no output schema, so the description must carry the return-value burden, and it does by naming every section of the response. Given a single-parameter, read-only tool this is close to complete, with only error handling and output volume left unspecified.

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?

With one parameter at 100% schema description coverage, the schema already documents the slug, its pattern, and that omitting it returns the list. The description's statement about the no-slug mode largely restates the schema, adding little new meaning.

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 (returns an answer to a question about Milwaukee neighborhoods, computed from public data) and enumerates the payload (answer sentence, metric, period, source, method, ranked tables). It also covers the second mode, no-slug returns the question list. It does not differentiate itself from siblings such as get_neighborhood, get_topic, or search, so it stops short of 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 Guidelines3/5

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

The no-slug behaviour implies a discovery-then-fetch workflow, which is useful usage guidance. However, there is no explicit when-to-use/when-not guidance and no named alternative among the many siblings, so the agent must infer the routing itself.

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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