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Glama

Server Details

Free city-walk planner: day-by-day self-guided walking itineraries for 50+ cities. No sign-up.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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Glama
MCP server

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Tool DescriptionsA

Average 4.3/5 across 3 of 3 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool serves a distinct purpose: get_place for single place lookup, list_cities for supported cities, plan_city_walk for itinerary generation. No overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with underscores (get_place, list_cities, plan_city_walk), making them predictable and easy to understand.

Tool Count5/5

Three tools is appropriate for the focused domain of city walking itineraries. Each tool is essential and the set is neither too sparse nor too large.

Completeness5/5

The tool surface covers the core workflow: checking city support, looking up places, and generating itineraries. No obvious gaps for the stated purpose of planning city walks.

Available Tools

3 tools
get_placeAInspect

Look up one place in a city's CityWalk Plan catalog (type, neighborhood, suggested duration, description, coordinates, Wikipedia link).

ParametersJSON Schema
NameRequiredDescriptionDefault
cityYesCity name or slug.
placeYesPlace name or part of it, e.g. 'Louvre'.
Behavior3/5

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

No annotations are provided, so the description bears the entire burden of behavioral disclosure. It implies a read-only lookup by using 'look up', but it does not explicitly state idempotency, error handling (e.g., if the place is not found), or matching behavior (exact vs fuzzy). Listing return fields adds transparency but leaves gaps.

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?

The description is a single, front-loaded sentence that wastes no words. It immediately states the action ('Look up one place'), specifies the data source, and lists return fields in parentheses.

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 simple lookup tool with two parameters and no output schema, the description adequately conveys the return shape by listing fields. It lacks explicit mention of singular vs plural result format but 'one place' implies a single object. No significant gaps given tool simplicity.

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% with both parameters already described concisely in the input schema. The tool description repeats those exact descriptions, adding no new semantic meaning. With high schema coverage, baseline 3 is appropriate.

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 tool looks up one place in a city's CityWalk Plan catalog and enumerates the returned fields (type, neighborhood, suggested duration, etc.). This specific verb-resource combination distinguishes it from siblings list_cities and plan_city_walk.

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 description implies that the tool is used when you need details on a specific place, but it provides no explicit guidance on when to use this tool versus alternatives (e.g., list_cities or plan_city_walk), nor does it mention prerequisites or exclusions.

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

list_citiesAInspect

List the 50+ cities CityWalk Plan can build a walking itinerary for, grouped by region. Call this first if unsure whether a city is supported.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Behavior4/5

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

No annotations provided, so description carries full burden. It states a read-only listing operation with no side effects, which is adequately 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?

Two concise sentences with no wasted words; front-loaded with purpose and usage guidance.

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?

For a parameterless listing tool, the description fully covers what it does and when to use it, with no missing information.

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?

No parameters exist, and schema coverage is 100%, so baseline is 3. Description adds no parameter info but doesn't need to.

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 tool lists over 50 supported cities grouped by region, distinguishing it from sibling tools like get_place and plan_city_walk.

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

Usage Guidelines5/5

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

Explicit guidance: 'Call this first if unsure whether a city is supported' provides clear context for when to use this tool.

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

plan_city_walkAInspect

Generate a day-by-day walking itinerary for a city from CityWalk Plan's hand-curated catalog. Stops are real places with verified coordinates (not AI-invented), grouped by neighborhood so each day stays in one area with minimal backtracking. Returns the itinerary plus a citywalkplan.com link to edit/share/export it.

ParametersJSON Schema
NameRequiredDescriptionDefault
cityYesCity name or slug, e.g. 'Paris', 'tokyo', 'New York'.
daysNoNumber of days (1-7). Default 3.
langNoLanguage for the returned plan_url so the trip opens localized — set it to the user's language (e.g. 'ja', 'zh-Hans', 'fr'). Default 'en'.
paceNoeasy ~3 stops/day, balanced ~4, packed ~5. Default balanced.
must_seeNoOptional place names to prioritize, e.g. ['Eiffel Tower'].
Behavior5/5

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

With no annotations, the description fully discloses key behaviors: stops are real places with verified coordinates (not AI-invented), grouped by neighborhood, and returns a link for editing/sharing/exporting.

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?

The description is concise with three sentences, front-loaded with the main purpose, and no unnecessary information.

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?

For a tool with 5 parameters (1 required) and no output schema, the description sufficiently explains the return value (itinerary plus link) and the nature of stops, making it complete for selection and invocation.

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 coverage is 100%, so baseline is 3. The description adds context about the catalog and grouping but does not add specific parameter-level meaning beyond the schema.

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 explicitly states it generates a day-by-day walking itinerary for a city from a curated catalog, and distinguishes itself from siblings like get_place and list_cities.

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 clearly indicates its use for multi-day city itineraries, but does not explicitly state when not to use it or mention alternatives beyond the sibling tools.

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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