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Glama

gsa_output_extract_arr

Extract array output data for a GSA entity by providing its entity ID, enabling structural result analysis through the MCP server.

Instructions

Extract array output data for entity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Extract' implies a read operation, but it says nothing about permissions, side effects, or whether any state is modified.

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 short, front-loaded sentence with no filler. It is appropriately sized for a one-parameter tool, though the extreme brevity contributes to missing context elsewhere.

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?

With no annotations, a 0%-covered input schema, and many similar extract siblings, the definition lacks enough context to select this tool confidently. The output schema reduces the need to explain return values, but usage and parameter meaning remain incomplete.

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% and the single parameter has no schema-level description. The phrase 'for entity' only loosely associates entity_id with a target entity, without clarifying entity type, valid range, or how it is resolved.

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 ('Extract') and resource ('array output data') scoped to an entity. Distinguishes from the generic gsa_output_extract by 'array', but does not explicitly say how it differs from the other extract siblings.

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?

No when-to-use guidance, prerequisites, or alternatives named. The agent must infer from the name that this is for array output instead of scalar or other extraction variants.

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