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Glama

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Get information about who built this MCP server and why.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It correctly implies a read-only information retrieval operation, but it doesn't explicitly state that there are no side effects, no external calls, or any other behavioral guarantees. For a simple metadata tool this is adequate but not richly transparent.

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?

A single, well-structured sentence that front-loads the verb ('Get') and resource ('information about who built this MCP server and why'). Every word earns its place, with no redundancy or filler.

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?

Given the tool has no parameters, an output schema is present to describe return values, and the sibling tools are clearly unrelated, the description is fully complete. An agent has everything needed to correctly invoke this tool and interpret its purpose.

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, so the baseline of 4 applies. There are no parameter semantics to explain, and the description correctly hints at the tool's output without needing to reference any parameters.

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 clearly states the specific action ('Get information') and the resource ('who built this MCP server and why'). This is immediately distinct from the weather-focused sibling tools and leaves no ambiguity about the tool's function.

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

Usage Guidelines4/5

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

The description provides clear context for use: whenever an agent needs to know about the server's origin or rationale. It doesn't explicitly mention alternatives, but the sibling tools are so functionally different that no exclusion is necessary for correct selection.

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

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TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a distinct output purpose: raw weather retrieval, comparison, and two different decision-support helpers. The overlapping use of weather data does not create real ambiguity because the requested output differs clearly.

Naming Consistency3/5

Names are all readable lowercase snake_case, but they mix conventions: get_weather and compare_weather are verb_noun while is_good_for_outdoors and should_i_carry_umbrella are sentence-style predicates, and about is a bare noun. The inconsistency is not chaotic, but an agent cannot infer a single naming pattern.

Tool Count5/5

Five tools is well-scoped for a weather assistant: one metadata tool, one retrieval tool, one comparison tool, and two focused advisory tools. None of the tools feel redundant or unnecessary.

Completeness4/5

The set covers current conditions, today's forecast, comparisons, and common decision queries without dead ends. It lacks multi-day forecasts, weather alerts, and location search, but these are minor gaps for a today-focused weather utility.