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lynx-mi

lynx-mi/lynx-mi-mcp

get_lobbying_activity

Retrieve corporate lobbying reports to identify which companies lobby, their spending amounts, and targeted issue areas for transparency and analysis.

Instructions

Get corporate lobbying reports — which companies are spending on lobbying, in what issue areas, and how much.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerNoOptional: filter by company ticker
limitNoMax results (default: 25)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes a read operation ('Get') but does not specify permissions, rate limits, data freshness, or response format. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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, efficient sentence that front-loads the core purpose without unnecessary details. Every word contributes to understanding the tool's function, making it highly concise and well-structured.

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

Completeness3/5

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

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is adequate but incomplete. It covers the purpose but lacks behavioral details and usage guidelines. Without annotations or output schema, more context on permissions, data format, or limitations would improve completeness.

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%, so the schema already documents both parameters (ticker and limit). The description adds no additional parameter semantics beyond what the schema provides, such as examples or constraints. The baseline score of 3 is appropriate when the schema handles parameter documentation effectively.

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 states the tool's purpose: retrieving corporate lobbying reports with specific details about companies, issue areas, and spending amounts. It uses specific verbs ('Get') and resources ('corporate lobbying reports'), but does not explicitly differentiate from sibling tools like 'get_congressional_trades' or 'get_earnings_proximity', which focus on different data domains.

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 provides no guidance on when to use this tool versus alternatives. It does not mention sibling tools or contexts where other tools might be more appropriate, such as for insider trading data or market sentiment. Usage is implied by the data domain but not explicitly stated.

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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