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SACS.ai MCP — California School District Financial Data

sacs_list_public_datasets

Read-onlyIdempotent

List versioned official public SACS datasets for one district.

Input Schema

NameRequiredDescriptionDefault
limitNo
offsetNo
client_idNo
district_identifierYes

Output Schema

NameRequiredDescriptionDefault
okYes
dataNo
errorNo
request_idYes
limitationsNo
data_versionYes
contract_versionNosacs.mcp.v1
source_provenanceNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered. The description adds that datasets are 'versioned' and 'official public', which is meaningful context about what is returned, but it says nothing about pagination behavior, result volume, or whether an unregistered client can call it.

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?

A single front-loaded sentence with zero wasted words, and the resource scope appears before the qualifier. It is efficient, though its brevity reflects underspecification rather than disciplined editing.

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

Completeness2/5

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

An output schema exists, so return values need not be described. However, for a four-parameter paginated tool with 0% schema coverage and a sibling sacs_register_client implying an auth/registration flow, the description leaves the client_id requirement and pagination semantics entirely unaddressed.

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?

Schema description coverage is 0%, so the description must compensate, and it only covers district_identifier ('for one district'). limit and offset are conventional, but client_id (pattern sacs_client_[0-9a-f]{32}) is entirely unexplained, and no mention is made of the limit cap of 50 or offset cap of 500.

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 ('List') and a well-defined resource ('versioned official public SACS datasets') scoped to one district. It does not explicitly distinguish itself from siblings such as sacs_district_context_pack or sacs_query_financial_summary, so an agent must infer that this is the dataset-discovery entry point.

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 versus alternatives, nor any prerequisites or sequencing guidance (e.g., that it might be a discovery step before sacs_query_financial_summary). The 'for one district' phrasing only implies the required parameter, not the usage 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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