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Glama

rules_index

Retrieve the patent-office rules index to check dataset version and date, available offices with row counts, and supported tools and act vocabulary.

Instructions

The rules dataset: its version and date, the offices with their row counts, the tools and the act vocabulary.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden; it discloses the payload contents but not the operational profile. Nothing says whether this is a cheap static snapshot or an expensive aggregation, or whether results are cached, though the read-only nature of an 'index' is strongly implied by the noun. For a zero-argument index tool the risk is low, so this is adequate rather than rich.

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?

One compact sentence with no filler, and the most important element (the dataset version/date) is front-loaded. The telegraphic list style ('the tools and the act vocabulary') is slightly clipped but not ambiguous enough to cost more.

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

Completeness3/5

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 no prose explanation, and a zero-param tool has few failure modes to document. What is missing is the routing information an agent actually needs: when to call this versus rules_changelog or the domain-specific siblings like fee_schedule and rep_required.

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?

The tool takes no parameters, so the baseline of 4 would normally apply; however, the description adds no framing about the absence of filters (e.g. that offices/tools cannot be narrowed here). Schema coverage is 100% and empty, so the schema contributes nothing an agent could not already see.

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?

The description enumerates exactly what the tool surfaces: dataset version and date, offices with row counts, tools, and act vocabulary. That is a specific content contract an agent can match to a need. It loses a point for having no verb ('Returns...') and for not distinguishing itself from the sibling rules_changelog, which sounds related.

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 explicit when-to-use guidance, no statement of prerequisites, and no mention of alternatives such as rules_changelog. An agent must infer from the content list that this is a discovery/orientation call to make before drilling into rules data.

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