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

Annotations already cover readOnly/openWorld/non-destructive, and the description adds real context: newest-first ordering, the exact fields per item, and the auth requirement (Cotlet API key with access to this app). It omits pagination/result-limit behavior, which would be the remaining useful disclosure for a list tool.

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 purpose is reasonably front-loaded, but the field list is stated twice ('with client, date, type and whether you replied' then 'Each item has the client, the date, the request type and whether you have replied'). This redundancy costs it conciseness points.

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?

No output schema exists, and the description compensates by enumerating the returned item fields, plus auth requirements and ordering. It is nearly complete; only pagination/volume behavior is left unstated.

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?

Schema coverage is 100% and both parameters are already documented in the schema. The description's mention of unanswered_only largely restates the schema, adding no syntax or format detail beyond it, so the baseline 3 applies.

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?

States a specific verb+resource — lists Project and Service Requests (leads) received — and clarifies ordering (newest first) and item composition. It also distinguishes itself from the sibling get_pro_analytics by noting these are 'the same requests Pro Analytics counts as Leads.'

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?

'Use unanswered_only to see what still needs an answer' gives a clear conditional for filtering. However, it never names an alternative sibling (e.g., list_conversations) or says when not to use this tool, so it stops short of full when/when-not guidance.

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