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kwgoodwin

AI Legal Watch MCP

by kwgoodwin

find_duplicate_development

Check an item against existing legal tracker entries to detect blocking duplicates and related-source warnings before proposing an update.

Instructions

Check for blocking duplicates and related-source warnings before proposing an update.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
item_dateYes
source_urlYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

B3/5.0
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 indicates a checking action, but does not say whether the tool is read-only, what it returns, how blocking is signaled, or what side effects (if any) occur. This is a significant transparency gap for a tool with no annotation support.

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?

The description is a single front-loaded sentence with no filler words. It is concise and readable, but it is somewhat under-specified for a tool with three undocumented required parameters and no output schema, so it is not perfectly 'appropriately sized'.

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 definition is too thin for reliable invocation. It gives a purpose and timing but leaves critical unknowns: what constitutes a 'blocking' duplicate, what warnings look like, what the function returns, and how the parameters should be supplied and interpreted.

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 coverage is 0% and the description does not mention any of the three required parameters (topic, item_date, source_url). An agent cannot determine expected formats, how each parameter contributes to duplicate detection, or why all three are required. The description adds no parameter-level meaning beyond the bare schema names.

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 clearly identifies the action ('Check for blocking duplicates and related-source warnings') and frames it as a pre-update step, which distinguishes it from siblings like propose_tracker_update and apply_tracker_update. It is not a tautology and adds meaningful specificity, though terms like 'blocking' and 'related-source warnings' are not fully defined.

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 provides clear contextual placement: use this before proposing an update. This implies the tool is a prerequisite check for propose_tracker_update. However, it does not explicitly state when not to use it or name alternatives, so it falls short of fully explicit routing.

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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