list_blueprint_templates

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

No annotations are provided, so the description carries the full load. "Lists" correctly signals a read-only operation and the presets' nature, but it says nothing about whether the catalog is static or account-scoped, how many entries to expect, or the shape of each returned item (no output schema exists to cover this either).

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 front-loaded sentence with the verb first and the qualifiers after — efficient and easy to scan. Minor deduction for "production-grade," which reads as promotional filler rather than actionable specification.

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 zero-parameter, read-only listing tool with no output schema, the description gives enough to call it correctly: it says what is listed and gives example categories. It is only slightly short of complete in not hinting at the result shape or the follow-up action.

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 tool takes zero parameters, which is the baseline-4 case: there is no parameter semantics the description could reasonably be expected to explain beyond what the empty schema already communicates.

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 ("Lists") and resource ("architecture presets"), with concrete examples of the preset families (SaaS B2B, E-Commerce, AI Agent Platform) that make the resource tangible. It implicitly distinguishes itself from the generate_*/audit_* siblings by being the only enumeration tool, though it never names that contrast 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?

The phrase "available for rapid bootstrapping" implies the workflow context (inspect presets before generating a blueprint), but there is no explicit when-to-use, when-not-to-use, or pointer to the obvious next step such as generate_full_blueprint. The agent must infer the call ordering.

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