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Glama

search_station

Find a TfL station by name to get its details, enabling journey planning, arrivals, and disruption information.

Instructions

Search for a station by name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term e.g. Seven, Kings Cross, Canary

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
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. It does not disclose matching behavior (exact vs partial), result cardinality, or whether the search is case-insensitive, all of which matter for a search tool. It also never confirms this is a read-only operation.

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 efficient sentence with no filler, front-loaded with the verb and resource. It is arguably too terse rather than too long, but nothing is wasted.

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 one-parameter read-only search with no output schema, the definition is minimally viable. It leaves return format, matching semantics, and routing against get_station_info unaddressed, which an agent would benefit from knowing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single query parameter already carries examples ('Seven, Kings Cross, Canary'). The description adds no additional meaning beyond the schema, so the baseline 3 applies.

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 (Search) and resource (station) scoped by name, which is clear and actionable. However, it does nothing to distinguish itself from sibling get_station_info, which an agent could reasonably confuse it with when looking up a named station.

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?

There is no guidance on when to use this versus get_station_info or get_nearby_stations, nor any mention of what happens when the query matches nothing. Usage is only implied by the tool name itself.

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