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LizzleChen

local-dfw-mcp

by LizzleChen

dfw_crime

Read-onlyIdempotent

Search Dallas Police incidents by block-level address or offense type. Retrieve incident number, date, offense, premise, division, and status.

Instructions

City of Dallas only (v0.1). Search Dallas Police incidents by (block-level) address and/or offense type. Returns incident number, offense, date, premise, division/sector/beat, and status. Addresses are block-level (privacy-rounded upstream). NOT a consumer report — do not use for tenant, employment, or other FCRA-regulated screening. Source: Dallas Police Department Open Data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoJurisdiction override. v0.1 covers "dallas" only; "auto" (default) resolves from the address.
limitNoMax results (default 25).
cursorNoOpaque pagination cursor from a previous call.
addressNoBlock-level street address, contains-match. Example: "3400 Ladd St".
offenseNoFree-text offense filter, e.g. "burglary", "theft", "assault".
since_dateNoISO date (YYYY-MM-DD); only incidents on/after it. Defaults to 90 days ago.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesNumber of results in this page.
queryNoEcho of the input filters.
offsetNoCurrent page offset for pagination.
resultsYesResult rows.
nextCursorNoOpaque pagination cursor for the next page; null if no more results.
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint; description adds useful details such as block-level address rounding, source, and output fields. However, it omits pagination behavior and potential rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is concise with four sentences, front-loads scope and action, includes necessary legal warning, and contains no redundant or wasteful text.

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?

Given the presence of output schema and annotations, the description provides sufficient context including source, privacy details, and legal restrictions, though it could mention pagination and the 'auto' city option.

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%, so baseline is 3. Description summarizes the main parameters (address, offense) but does not add meaning beyond what the schema already provides.

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?

Description clearly states the tool searches Dallas Police incidents by address or offense type, distinguishes itself from sibling tools like dfw_311 and dfw_health by focusing on crime data, and specifies scope (City of Dallas only, v0.1).

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 description provides context for when to use (search for Dallas crime incidents) and includes an explicit restriction (not for FCRA-regulated screening), but does not compare with sibling tools or state when not to use this tool over alternatives.

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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