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Glama

finance_fund_metrics

Destructive

Get fund financial metrics via the finance agent. Provide objectives or structured inputs to receive performance data and related fund insights.

Instructions

Run the finance domain agent action finance_fund_metrics.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  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?

Annotations already provide destructiveHint=true, idempotentHint=false, and openWorldHint=true, but the description adds only routing/scope context. It does not warn about side effects or explain what changes or outcomes the action may produce. The name suggests metrics, so the destructive hint is particularly under-explained.

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 compact, front-loaded with the action name, and includes a clean Args breakdown without padding. It is appropriately sized even though the content is thin.

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?

For a generic dispatcher-style action with two free-form parameters and no concrete description of the action's domain behavior, this is incomplete. An agent cannot determine what finance_fund_metrics computes, what inputs to provide, or when it should be selected among the huge ecosystem of sibling tools.

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?

With 0% schema description coverage, the Args section carries the burden. It does explain that message is a free-text objective and inputs is an optional JSON string, which adds meaning beyond the bare schema. However, it stays vague about what a valid message looks like and what structured inputs should contain.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially tautological: 'Run the finance domain agent action finance_fund_metrics' restates the tool name without explaining what the action actually does. It adds routing context, but no concrete verb/resource meaning like computing, returning, or analyzing fund metrics.

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?

There is no guidance on when to use this tool versus the many finance_* or query-oriented siblings. The 'message: Free-text objective' hint implies a natural-language use case, but it never states what kind of objective fits this action or when an alternative should be chosen.

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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