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

No annotations are provided, so the description must fully disclose behavior. It states it returns a signed URL and lists pricing, but it is ambiguous whether calling this tool initiates a purchase, simply generates a URL for later use, or returns a price quote. The phrase 'Priced as the SKU' is vague. There is no mention of side effects, permissions, or whether the action is read-only or transactional.

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 dense sentence packed with pricing and pack details. It is efficient in information density but poorly structured, using inline slashes and parentheses that make it hard to scan. A bulleted list or clearer separation of pack options would improve readability without losing conciseness.

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 tool with multiple pack types and conditional parameters, the description covers pack selection thoroughly, including pricing and required parameters. However, it lacks an explanation of what a 'signed URL' entails (e.g., access vs. payment) and whether the tool has side effects. With no output schema and no annotations, this ambiguity leaves a notable gap in completeness.

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?

The schema already provides enum values and some descriptions (67% coverage). The description adds significant semantic value by explaining what each pack contains (e.g., 'everything ($149: both packs + all token sequences, $730 list)', 'features (feature matrix, crypto $7 / equity $4)') and clarifies conditional parameter requirements (e.g., symbol required for specific packs, tf constraints for features). This goes beyond the schema's raw parameter definitions.

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 clearly states the tool produces a 'Signed URL for a dataset SKU', which conveys the overall function of generating a signed URL for a data bundle. The pack list distinguishes it from sibling data-access tools like get_bars or get_features, as it focuses on building bundles/packages. However, the verb is implicit ('Signed URL' is a noun phrase), so it's not perfectly explicit.

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 provides detailed guidance on which pack to select based on desired data, including price breakdowns and specific conditions (e.g., 'mtf... crypto only', 'symbol required for tokens|dataset|mtf|features', and 'tf features only... crypto: 1h or 15m; equity: 1d'). This effectively tells the user when to use each option, but does not explicitly mention alternatives or exclusions relative to sibling tools.

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