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

With no annotations, the description carries the full burden and does well: it discloses the async job pattern, the exact output format (512x512 PNG, true alpha via solid plate + BiRefNet cutout), and the fixed count of six stickers. It omits cost/payment implications, notable given the presence of get_balance, list_pricing, and claim_payment siblings.

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?

Two dense sentences with zero filler; the output shape is front-loaded and the async polling instruction follows immediately after. Every clause conveys information an agent needs.

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, but the description compensates by specifying the artifact format, count, and alpha-channel technique, plus how to retrieve results via get_job. The remaining gap is the absence of any cost, credit, or failure-mode context for what is clearly a paid generation operation.

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 description coverage is 100%, so both prompt and owns_rights are already documented in the schema. The description hints that the prompt drives character consistency ('consistent-character') but adds no syntax, length, or rights-enforcement detail beyond the structured fields, so 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 and resource with concrete output specs: 'Generate six consistent-character Telegram stickers, 512x512 PNG with a real alpha channel.' The Telegram-sticker framing implicitly separates it from sibling generators like generate_image, generate_banner, and generate_logo_kit, though it never names them explicitly.

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?

Gives explicit downstream workflow guidance — the tool returns a job_id immediately and the caller must poll get_job for assets — which names the alternative tool and the condition for using it. It does not, however, say when to pick this over the other generation siblings.

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