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dashboard: GET /api/dashboard/expense-trends

get_dashboard_expense_trends_28974b270197228f23544fbb
Read-onlyIdempotent

GET /api/dashboard/expense-trends. GET /api/dashboard/expense-trends. Operation ID: 28974b270197228f23544fbb; describe_operation provides native request schemas.

Input Schema

NameRequiredDescriptionDefault
queryNo
paramsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2/5.0
Behavior2/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile needs no restating and the description adds none. It gives no information on data granularity, aggregation window, required permissions, or response shape, leaving the behavior essentially undocumented.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The same path string is duplicated verbatim, wasting the most prominent position, and nothing substantive is front-loaded. Brevity here reflects missing content rather than efficient writing.

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 dashboard analytics endpoint with an opaque two-parameter schema and no output schema, an agent still lacks any sense of what filters exist, what the trend granularity is, or what comes back. The describe_operation pointer is the only bridge and it is thin.

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 schema is opaque (free-form 'query' object plus an empty 'params' object), so the description must compensate. Its only compensation is pointing at describe_operation for native request schemas, which gives no meaning about the two parameters themselves.

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 only repeats the HTTP path 'GET /api/dashboard/expense-trends' twice, which restates the name and title rather than explaining what the tool returns. It does not distinguish this from near-identical siblings such as get_expenses_trends or get_dashboard_expense_breakdown.

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 statement of when to use this tool, when to prefer a sibling, or what preconditions apply. The only actionable hint is that describe_operation exposes native request schemas, which is a pointer to documentation, not usage guidance.

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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