Skip to main content
Glama

AI Arena Agent Tools

100 Cross-Industry Intelligence Packages

intelligence_package_directory
Read-onlyIdempotent

Browse 100 proposed joined-data use cases with transparent development status; not 100 live feeds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo
sectorNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
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 context about the tool's nature ('proposed', 'transparent development status') and clarifies it is not a live feed, which goes beyond what annotations provide. No contradiction exists.

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 a single, well-structured sentence that front-loads the core action and then clarifies a common misinterpretation. There is no wasted prose; every word contributes to understanding.

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?

For a simple browse tool with optional parameters and no output schema, the description covers the essential purpose and nature. However, it omits any detail about parameter semantics and does not hint at the structure of results. Given the lack of an output schema and the need to compensate for zero schema description coverage, this is a notable gap, though the tool's simplicity mitigates it somewhat.

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 carries full responsibility for parameter explanation. However, it does not mention 'limit', 'query', or 'sector' at all. Though parameter names are self-explanatory, the lack of any description leaves room for ambiguity (e.g., what exactly does 'query' search? what formats for 'sector'?). This is a significant gap given zero coverage.

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 states a specific verb ('Browse') and a precise resource ('100 proposed joined-data use cases'), and explicitly differentiates from live feeds ('not 100 live feeds'). This makes the tool's purpose unambiguous and distinguishes it from potential alternatives, even though no specific sibling is named.

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 implicitly indicates when to use the tool—to browse proposed use cases—but it offers no explicit guidance on when not to use it or which sibling tools to prefer for other needs. It does not cite alternatives or exclusion conditions, leaving the agent to infer from context.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources