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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=false, so the safety profile is covered by structured data. The description adds useful non-annotation context: that the payload is structured and sectioned, and that it should be the first call in an onboarding flow. It doesn't mention static/cached nature or freshness of the content, which is a minor gap.

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?

Three sentences, front-loaded with the return payload, then the when-to-call rule, then the parameter note. The mid-sentence content enumeration is long but each item is a distinct sub-topic an agent might need, so it earns its place; slightly tighter phrasing would reach 5.

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?

There is no output schema, and the description compensates by enumerating the return contents and the available sections, so an agent knows what it will get back. Combined with the entry-point guidance and the annotation safety profile, nothing needed to invoke this single-optional-parameter tool correctly is missing.

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 the enum's seven values are fully documented in the schema, so the schema does the heavy lifting. The description adds only the default behavior implied by 'Pass `section` to get one part only', which the schema also states ('default: all'). 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?

The description names a specific verb ('Returns a structured overview') and resource (Cotal), then enumerates exactly what that overview contains: what it is, who it's for, when to use it, install, API/MCP surface, pricing, and links. None of the sibling tools (get_post, list_posts, search, join_waitlist, etc.) do this, and the enumeration makes that distinction obvious without opening the schema.

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?

'Call this first when a user asks what cotal.ai does' gives an explicit trigger and sequencing rule, which is genuinely useful for orienting an agent among twelve action-oriented siblings. It stops short of naming alternatives or exclusions (e.g., when to prefer cotal_search for a specific query), so it isn't a full when/when-not statement.

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