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hdyrawan

mcp-endpoint-central

by hdyrawan

List custom reports

reports_custom_reports_list
Read-only

Retrieve all custom reports with IDs, labels, owners, view names, descriptions, and last-modified times. Use a report's viewName to fetch its data.

Instructions

Retrieves all custom reports available to the API user with their report ID, label, owner, view name, description, and last-modified time. Use a report's viewName with reports_custom_report_data to fetch its rows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rawNoReturn the full raw report-tree response instead of the flattened, curated record list.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds useful context about scope ('available to the API user') and the exact fields returned, which helps the agent understand what to expect. No contradictions with annotations.

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 two sentences with no filler. The first sentence states the core action and result, and the second provides an actionable pointer to the related data tool. All content earns its place.

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

Completeness5/5

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

For a simple read-only list tool with one optional parameter and no output schema, the description covers the purpose, returned fields, and a clear next step. It is complete enough for an agent to use effectively.

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?

The sole parameter 'raw' is fully described in the input schema, so the agent has the necessary information. The description adds no extra parameter semantics, and with 100% schema coverage the baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool retrieves all custom reports available to the API user and lists the specific fields returned (ID, label, owner, view name, description, last-modified time). It also distinguishes itself from the data-fetch sibling by directing the user to reports_custom_report_data for rows.

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 implies this is for listing reports and gives an explicit next step: use a report's viewName with reports_custom_report_data to fetch rows. It provides clear context but does not explicitly compare to other report list tools or state when not to use this tool.

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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