score_name

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

No annotations are provided, so the description carries the full burden. It discloses that scoring is validated against real Fragment sales and mentions the outputs, but it does not describe any behavioral traits such as side effects, authentication needs, or rate limits. For a read-only scoring tool, this is adequate but not comprehensive.

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 a single, well-structured sentence that front-loads the primary purpose and key outputs. Every word serves a purpose, with no redundancy or wasted space.

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?

Given no output schema, the description adequately explains the return values and their significance (validated against real sales). It covers the main inputs and usage context. Minor omission: does not state whether the tool is read-only or requires authentication, but for a scoring tool this is acceptable.

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 the baseline is 3. The description doesn't add significant new information about parameters beyond the schema; it explains the output context (validation vs Fragment sales, GRAM price) but doesn't clarify parameter usage beyond what is already in the schema.

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 uses the specific verb 'Score' and identifies the resource as 'Telegram username'. It lists the outputs (namability 0-100, quality band, fair price, positioning thesis) and distinguishes from siblings like check_fragment_ask and compare_names via usage guidance.

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 description states when to use the tool: 'when the user asks whether a username is good, what it is worth, or before buying/minting it.' While it does not explicitly mention when not to use or list alternatives, the sibling tools provide implied alternatives and the context is clear.

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