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FrankSpace Public MCP

Search FrankSpace workspaces

search_workspaces
Read-onlyIdempotent

Search live UK workspace listings on FrankSpace. Filter by location text (city, postcode, submarket), size band, and maximum monthly price (pence). For richer natural-language queries prefer ai_search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
locationNoFree-text location, e.g. 'Shoreditch' or 'EC2A'.
size_bandNosmall ≤500 sqft, medium 500-1500, large 1500-3000, xlarge >3000.
client_hintNoName of the calling agent (e.g. 'claude', 'chatgpt') for analytics.
max_price_penceNoMax monthly price in pence.

Schema Changelog

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

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint. The description adds context about the domain (live UK workspace listings) and filtering capabilities, but does not detail return format or pagination behavior, which is acceptable given annotations.

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 sentences with no fluff. Purpose is front-loaded, and the alternative tool reference is efficiently placed. Every sentence earns its place.

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?

The description covers the main filtering options and domain. However, it omits mention of the 'limit' parameter (pagination) and the 'client_hint' parameter, leaving minor gaps. For a search tool without output schema, this is acceptable but not fully complete.

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 description coverage is 80%, so baseline is 3. The description adds value by specifying that location can be city, postcode, or submarket, and mentions size band and max price. This clarifies the intended use beyond the schema's individual parameter descriptions.

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 verb 'Search' and the resource 'live UK workspace listings on FrankSpace'. It distinguishes from sibling 'ai_search' by specifying structured filter capabilities and explicitly directing richer queries to 'ai_search'.

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?

Explicitly instructs when to use this tool: for filtering by location, size band, and max price. Provides an alternative ('ai_search') for natural-language queries, making the choice clear.

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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