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get_fund_performance

Get performance snapshots for a fund's P&L graph.

Args:
    fund_id: The fund's ID.
    limit: Max snapshots to return (default 100).

Returns a JSON time-series of AUM/PnL snapshots.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
fund_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden and does disclose the return format ('Returns a JSON time-series of AUM/PnL snapshots') and the capping behavior of limit ('Max snapshots to return'). However, it omits the time-series ordering, pagination behavior, and error handling for invalid fund_id, which matter for a tool with zero annotation coverage.

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?

Five compact lines that front-load the core purpose, then list parameters and return shape without fluff. The Args section partially duplicates schema titles and the default-100 value, but the added limit semantics earn their place.

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?

For a simple 2-parameter, 1-required tool with an output schema, the description covers purpose, parameter semantics, and return shape adequately. The notable gaps are time-series ordering and how to fetch beyond the 100-snapshot cap, both relevant to the stated P&L-graph use case.

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 0%, so the description must compensate. It does add real meaning to limit ('Max snapshots to return'), but 'fund_id: The fund's ID' merely restates the schema's 'Fund Id' title with no format, validation, or lookup semantics. Compensation is only partial.

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 verb and resource: 'Get performance snapshots for a fund's P&L graph,' with the return format clarified as 'a JSON time-series of AUM/PnL snapshots.' It does not explicitly distinguish itself from similar siblings like get_fund_live_pnl or get_fund_analytics, leaving the differentiation to inference.

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?

No guidance is given for when to use this tool versus the many similar fund-data siblings (get_fund_live_pnl, get_fund_analytics, get_fund_trades, etc.) in the sibling list. There are no usage conditions, exclusions, or alternative routing clues, so an agent must guess based on name similarity alone.

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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