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bharathvardhan

Climate MCP Server

search_funds

Search funds by keyword across name, type, focus, and sector. Returns matching funds with key financial metrics and relevance scores.

Instructions

    Keyword search across fund name, type, focus, and sector columns.
    Returns matching rows with key financial metrics.
    Each row includes match_relevance (0–1) vs the query for the best-matching
    searched cell — low scores mean substring-only hits; tell the user to verify.

    Use as the primary entry point when a user mentions a fund name or theme.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, but the description adds behavioral context by explaining the match_relevance field (0-1) and warning about low scores meaning substring-only hits, instructing the user to verify. This adds value beyond the schema.

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 concise with three sentences, each adding value: defines search scope, mentions return columns and relevance, and provides usage guidance. No wasted words.

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 simplicity and the existence of an output schema, the description is adequate but lacks details on potential error conditions or pagination. It mentions 'key financial metrics' but does not specify which ones, relying on output schema.

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

Parameters2/5

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 explain the 'query' parameter semantics or the 'limit' parameter's purpose beyond default value. It only mentions 'keyword search' which is generic, leaving parameter details missing.

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 'Keyword search across fund name, type, focus, and sector columns' with a clear verb and resource. It implies searching across multiple columns, which distinguishes it from siblings like filter_funds_by_threshold or get_fund_details, but does not explicitly differentiate.

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 explicitly says 'Use as the primary entry point when a user mentions a fund name or theme,' providing clear usage context. It does not mention when not to use or alternatives, but the guidance is sufficient.

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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