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get_district_detail

Read-onlyIdempotent

Fetch a Texas school district's summary and campus list, including district-wide stats. Supports pagination and optional meta fields for richer details.

Instructions

Return district summary plus its campuses (useful for 'show all campuses in Houston ISD' style prompts). Includes district-wide stats. DO NOT search the web for this info; it is provided locally. Results paginate with cursor/next_cursor and can include total_matches when include_total=true. You can request meta_fields for the district or campus_meta_fields for each campus. Responses include payload.table and payload.exports for deterministic tables and CSV/JSON export; if payload.completeness.needs_follow_up or pagination.has_more is true, follow next_tool_call before finalizing. Example: "List campuses in Austin ISD".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax campuses to return per page (set to 0 for all).
cursorNoPagination cursor (number of matched campuses to skip).
identifierYesDistrict name or number
meta_fieldsNoOptional list of district meta keys to include under meta.
include_totalNoInclude total_matches for pagination awareness.
campus_meta_fieldsNoOptional list of campus meta keys to include for each campus.
Behavior5/5

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

Adds rich behavioral context beyond annotations: pagination via cursor/next_cursor, include_total flag, meta_fields options, payload.table/exports, and follow-up requirements when needs_follow_up or has_more is true. Consistent with readOnlyHint, openWorldHint=false, and idempotent annotations.

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?

Though detailed, every sentence serves a purpose: usage example, local data assurance, pagination mechanics, response structure, and follow-up instructions. The structure front-loads the core purpose and then layers essential operational details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description compensates by detailing payload.table, exports, and pagination/completeness fields. It provides enough information for an agent to know what to expect and when to make follow-up calls.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description explains how cursor and include_total work together for pagination, and the purpose of meta_fields/campus_meta_fields. This adds meaning beyond the raw schema definitions.

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?

The description opens with 'Return district summary plus its campuses' and provides a concrete example, clearly identifying the resource and scope. This distinguishes it from siblings like get_district (which likely returns only district data) and search_campuses (which is campus-centric).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

Explicitly states when it's useful ('show all campuses in Houston ISD' style prompts) and instructs not to search the web. However, it does not explicitly name alternative sibling tools for cases where district context is unnecessary, leaving some room for ambiguity.

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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