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Glama

software_overview

Get an application's best uses, typical tasks, limitations, capability categories, automation entry points, and installed status to help agents choose how to use it.

Instructions

Everything an agent needs to decide how to use an application: what it is best for, typical tasks, what it is not suited to, its capability areas (catalog categories with entry counts, browse them with list_tools), the automation entry points (CLI flags, scripting APIs, file formats) and whether it is installed here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
softwareYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose the richness of the return payload, including install status and entry points, which is real context. However it never states that this is a safe read with no side effects, nor any auth or caching behavior, leaving an agent to assume rather than know.

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 dense sentence front-loads the payoff and uses a colon list to enumerate contents efficiently with no filler. The trade-off is length, but every clause maps to a distinct piece of returned information.

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-value structure need not be restated, and the description still usefully previews content. What is missing is the parameter contract and any when-to-use routing relative to the many sibling tools, which for a lookup tool is a meaningful gap.

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?

The single required 'software' parameter has 0% schema description coverage and the description adds nothing about it. It doesn't say whether the value is a display name, an ID, a slug, or a path, nor what happens on an unknown value, so the description fails to compensate for the coverage gap.

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 returns: best-for guidance, typical tasks, anti-use cases, capability areas, automation entry points, and install status. That is a specific resource scope an agent can distinguish from describe_tool or list_software, though the verb is implicit and it never states it is read-only informational.

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?

It gives one concrete routing hint, telling the agent to browse capability areas with list_tools, which is useful. But it never says when to call software_overview versus list_software, describe_tool, or recommend_application, so the choice among siblings is left to inference.

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