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

No annotations are provided, so the description carries the full behavioral burden. It hints at returned content ('com o que já chegou') and request channels, but does not state read-only behavior, permissions, pagination, ordering, or side effects.

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

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

The description is short and front-loads the resource ('Pedidos do workspace'). It is dense but not bloated; clarity issues come from vagueness rather than verbosity.

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

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

For a list tool with no annotations, no output schema, and an undocumented boolean filter, the description is incomplete. It explains the general subject but leaves the agent without critical parameter semantics and behavioral details.

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

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

The sole parameter, open_only, has 0% schema description coverage and is not mentioned anywhere in the description. The description adds no meaning beyond the bare parameter name.

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

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

The description identifies workspace requests and divides them into requests to people and to agencies, with received status, so the resource is understandable. But it does not explicitly say it lists requests or differentiate the tool from siblings such as remind_request or list_diligences.

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

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

The phrase 'Use para acompanhar e cobrar' gives an implied monitoring/follow-up use case. It gives no exclusions, prerequisites, or comparison with alternative tools, so guidance remains minimal.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.