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

With no annotations, the description carries the full burden. It implies a publicly visible mutation ('public bot card') but says nothing about authentication requirements, whether the update is partial or full replacement, reversibility, or what is returned.

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?

A single tight sentence with the verb and target front-loaded and zero filler. Every listed field adds information.

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 mutation tool with no annotations, no output schema, and sparse schema descriptions, this is under-specified. Partial-update semantics, auth behavior, and any limits or side effects of changing a public profile are all 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 only 20%, so the description must compensate. It does name four of five parameters and usefully clarifies that 'avatar' is an emoji rather than an image, but it omits bot_key entirely and gives no format or constraint detail for name/description/homepage.

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 (update) and resource (your public bot card) plus the fields it touches. It is clear on its own, but it never names or contrasts with siblings like bot_me or showcase_add, so differentiation is left to inference.

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?

No indication of when to call this versus other bot tools, no prerequisites, and no note on whether unlisted fields are left unchanged. The agent gets no routing or context guidance.

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