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list_requests

Retrieve and display all system requests with summarized task details for quick overview and task management on TaskFlow MCP.

Instructions

List all requests with their basic information and summary of tasks. This provides a quick overview of all requests in the system.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions listing 'all requests' but doesn't specify aspects like pagination, sorting, filtering, rate limits, or authentication requirements. The phrase 'quick overview' hints at a summary view, but without details on what 'basic information' includes or how tasks are summarized, behavioral traits are under-specified for a tool with no annotation support.

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 that are front-loaded and efficient. The first sentence directly states the tool's purpose, and the second adds context about its use case. There is no wasted language or redundancy, making it appropriately sized for a simple listing tool.

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 low complexity (0 parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose and usage intent but lacks details on behavioral aspects like response format or system constraints. Without annotations or output schema, the description should ideally specify what 'basic information' includes or how results are structured, but it falls short of being fully complete for operational clarity.

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

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, meaning no parameters are documented in the schema. The description doesn't add parameter details, which is appropriate since there are no parameters to describe. This meets the baseline for tools with zero parameters, as there's no need to compensate for schema gaps, but it doesn't provide extra value beyond the schema's emptiness.

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 clearly states the tool's purpose: 'List all requests with their basic information and summary of tasks.' It specifies the verb ('List'), resource ('requests'), and scope ('all'), providing a specific action. However, it doesn't explicitly differentiate from sibling tools like 'get_next_task' or 'open_task_details', which also involve request/task retrieval, leaving some ambiguity about when to choose this tool over others.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by stating it 'provides a quick overview of all requests in the system,' suggesting it's for high-level summaries rather than detailed operations. However, it lacks explicit guidance on when to use this tool versus alternatives like 'get_next_task' (which might fetch a specific task) or 'open_task_details' (which could provide more details). No exclusions or prerequisites are mentioned, leaving usage context somewhat vague.

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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