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Glama

at_coverage

Read-onlyIdempotent

Determine the coverage scope of Austrian legal data and known gaps. Use this before stating that a law does not contain something, to distinguish absence from missing coverage.

Instructions

Declare what this connector covers, how it is sourced, and what it does NOT cover.

Call this before telling a user that the law "does not contain" something, and whenever a search comes back empty: the absence may be a gap in this connector rather than in the law. Every gap carries a fallback saying where to look instead.

Returns: Coverage with families, an as-of note, and a non-empty list of known gaps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNook
familiesNo
as_of_noteYesStates what the dates mean, and what they do not promise.
known_gapsNoNever empty. An empty list would mean 'not checked', not 'no gaps'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.4.3

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive behavior. The description adds valuable behavioral context beyond that: coverage is source-dependent, empty searches can be false negatives, and every gap has a fallback. It also summarizes the return structure without contradicting the 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?

The description is well organized and front-loaded: purpose, usage trigger, consequence of misuse, then return summary. Every sentence earns its place, with no filler or repetition of schema/annotation 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?

For a zero-argument introspection tool with rich annotations and an output schema, the description is complete. It explains when to call the tool, why the call matters, what the gaps contain, and what the response will include.

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?

The tool has zero parameters and the schema is empty, so there are no parameter semantics for the description to clarify. The zero-parameter baseline of 4 applies, and the description does not mislead about inputs.

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 a specific verb and resource: 'Declare what this connector covers, how it is sourced, and what it does NOT cover.' This clearly identifies it as a coverage-introspection tool and distinguishes it from sibling retrieval/search tools like at_search and at_get_text.

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

Usage Guidelines5/5

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

The description gives concrete call triggers: 'Call this before telling a user that the law does not contain something, and whenever a search comes back empty.' It also explains the reasoning—absence may indicate a connector gap rather than a gap in the law—so the agent knows when this tool is the right choice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.