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kwgoodwin

Clearon Legislation Monitor MCP

by kwgoodwin

import_normalized_watchlist

Import normalized watchlist data from CSV to initialize the verified legislation watchlist, enabling review-gated monitoring.

Instructions

Idempotently seed the MCP from the workspace normalized watchlist CSV.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expected_revisionNo

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does reveal idempotency and the CSV source, but it does not explain what side effects 'seed' has on existing data, whether data is replaced or merged, what happens on revision mismatch, or whether the workspace CSV must already exist.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no filler, and it front-loads the most important trait (idempotency). However, it is so terse that it omits critical operational details, so conciseness comes at the expense of usefulness.

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

Completeness2/5

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

Given the absence of annotations, output schema, and parameter descriptions, the tool description should compensate with richer context. It does not explain the meaning of 'expected_revision', the behavior on existing data, or what 'seeding the MCP' concretely changes in the system, so the agent cannot reliably predict the tool's effects.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not mention the 'expected_revision' parameter at all. The agent receives no explanation of what this integer means, why it matters, or how it relates to the idempotent seeding behavior, leaving the parameter effectively undocumented.

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 states a specific action ('seed') and a resource ('the MCP' from a 'normalized watchlist CSV'), and adds the key property 'idempotently'. It is clear this imports data from a workspace CSV, though it does not explicitly differentiate from sibling tools like list_watchlist or dedupe_watchlist_measures.

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?

The description gives no guidance on when to use this tool versus the many sibling tools. There is no mention of prerequisites, whether this is for initial setup, or when it should be avoided in favor of alternatives such as record_measure_observation or dedupe_watchlist_measures.

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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