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Glama

Legislation Uk

by io.github.pipeworx-io

Remember

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Idempotent

Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesMemory key (e.g., "subject_property", "target_ticker", "user_preference")
valueYesValue to store (any text — findings, addresses, preferences, notes)

Schema Changelog

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

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Adds context beyond annotations: memory scoped by identifier, 24-hour retention for anonymous users, overwrite behavior implied by idempotentHint. No contradictions.

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?

Three sentences: purpose, usage, details. Front-loaded and no extraneous 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 simple key-value tool with 2 params and no output schema, description covers persistence, scope, and relation to siblings fully.

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%, but description adds value with key naming examples and explicit statement that value can be any text, aiding agent understanding.

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?

Uses specific verb 'save data' and resource 'key-value pair'. Clearly distinguishes from sibling tools 'recall' and 'forget' by naming them.

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 states when to use ('discover something worth carrying forward') and pairs with recall/forget. Provides scoping and persistence details for different user types.

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

All Legislation Uk toolsInspect
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TDQS

A3.9/5.0
Disambiguation2/5

The four legislation tools are clearly distinct, but the set as a whole is confusing: ask_pipeworx and ask_pipeworx_beta are explicitly identical right now, and entity_profile, compare_entities, recent_changes, validate_claim, and ask_pipeworx_grounded have overlapping research/verification purposes. The 31 non-legislation tools also create constant ambiguity about which tool to pick for a UK law question.

Naming Consistency4/5

Names are uniformly lowercase snake_case and mostly follow recognizable verb-led or prefixed patterns (get_legislation, search_legislation, ask_pipeworx, polymarket_*). Minor deviations like entity_profile, bet_research, and recent_changes are noun-phrase style rather than verb_noun, but there is no camelCase mixing or chaotic convention.

Tool Count1/5

A server named 'Legislation Uk' has 35 tools, only 4 of which relate to UK legislation; the rest are Pipeworx data-platform, prediction-market, memory, and subscription utilities. This is an extreme mismatch between the tool count and the server's apparent purpose.

Completeness4/5

The UK legislation portion covers the core read workflow well: search_legislation finds a statute, get_legislation returns metadata, and get_legislation_text/get_legislation_section provide full or section-level text with versioning. Minor gaps exist, such as no dedicated amendment-history or cross-version diff tool, but there are no dead ends for typical lookups.

Resources