Skip to main content
Glama

get_cities

Dadas unas coordenadas dentro de Venezuela, devuelve su estado, municipio y parroquia, y la lista de ciudades posibles de ese estado con su id.

Input Schema

NameRequiredDescriptionDefault
latitudeYesLatitud en grados decimales (WGS 84, GPS)
longitudeYesLongitud en grados decimales (WGS 84, GPS)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose the return content (state, municipio, parroquia, city list with `id`), which is valuable given there is no output schema. It does not state what happens when coordinates fall outside Venezuela, whether partial matches are returned, or how large the city list may be.

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 sentence that front-loads the input condition and then enumerates the returned fields. No filler, no repetition of the schema, nothing that could be cut without losing information.

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

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter read tool with full schema coverage and no output schema, the description covers both the geographic input constraint and the shape of the return value. Only the out-of-Venezuela / no-match behavior is left unaddressed, which is a minor gap at this complexity level.

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?

Schema coverage is 100% and both parameters are documented, so the baseline would be 3. The description earns an extra point by adding a real constraint not expressible in the schema: the coordinates must fall inside Venezuela, whereas the schema only bounds them globally to ±90/±180.

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 names a specific verb and resource: given coordinates, it returns state, municipio, parroquia and the candidate city list with `id`. That is concrete and unambiguous. It does not, however, differentiate itself from the sibling `get_location`, which an agent could plausibly confuse it with.

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 phrase 'dentro de Venezuela' implicitly scopes the tool geographically and hints at when it applies versus a general location tool, but there is no explicit when-to-use, when-not-to-use, or named alternative. An agent must infer the routing decision from the country constraint alone.

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