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County totals

county_summary
Read-onlyIdempotent

Get the totals for one US county. Returns the number of public railroad crossings, how many have gates, lights or signs, the most trains a day and the other facts shown on the county page, with a link to that page.

Input Schema

NameRequiredDescriptionDefault
stateYesA US state name or its two-letter code, like Illinois or IL.
countyYesThe county name, like Cook.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description adds value by disclosing the actual data returned: crossing counts, gate/light/sign counts, max trains per day, and a page link. That return-content disclosure is genuinely useful given no output 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?

Two sentences, front-loaded with the core action before the return inventory. The second sentence is list-heavy but every listed item carries information the agent would otherwise lack.

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, the description correctly spends its budget describing what comes back, so an agent knows this is a read-only aggregate result rather than raw crossing records. Nothing critical for correct invocation is missing, though the absence of sibling routing leaves a small gap.

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 100%, and both parameters (state, county) are well documented with examples in the schema itself. The description adds no format or constraint detail beyond 'one US county', so the baseline of 3 applies.

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 ('Get the totals for one US county') and scopes it to county level, which implicitly separates it from the sibling state_summary. It does not name any sibling explicitly, so the differentiation is inferable rather than stated.

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 state_summary, get_crossing, or find_crossings_near, and no prerequisites or exclusions. The only hint is the 'one US county' scope, which is a purpose statement 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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