free-blueprints

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

With no annotations provided, the description carries the full burden. It discloses that the tool downloads a free blueprint and returns a JSON manifest ready for disk writing, which is useful behavioral context. However, it does not mention potential errors (e.g., invalid ID), permissions, rate limits, or network behavior, leaving gaps in transparency for a download operation.

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 front-loaded with the core action and result, using two efficient sentences that avoid redundancy. Each sentence adds value: the first defines the operation and output, the second clarifies format equivalence. There is no wasted text, making it highly concise and well-structured.

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 the tool's low complexity (1 parameter, no annotations, no output schema), the description is mostly complete. It explains the purpose, output format, and relation to siblings. However, without an output schema, it could benefit from more detail on the JSON structure or error handling, but it adequately covers the essentials for a simple retrieval tool.

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 schema already documents the single required parameter 'blueprintId' with its description. The description adds no additional parameter semantics beyond implying the ID comes from 'list_blueprints', which is already covered in the schema description. This meets the baseline for high schema coverage.

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 specific action ('Download'), resource ('free AI agent blueprint'), and mechanism ('by ID'), distinguishing it from the sibling 'list_blueprints' which presumably lists rather than downloads. It explicitly mentions what is returned ('JSON manifest with all files') and the format equivalence ('Same format as the paid Agent Blueprint export'), making the purpose unambiguous and distinct.

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 implies usage context by referencing the sibling tool ('Blueprint ID from list_blueprints'), suggesting this tool should be used after listing to download a specific blueprint. However, it does not explicitly state when not to use it or name alternatives beyond the implied sibling, so it provides clear context but lacks exclusions or detailed comparisons.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds useful context about the tool being free and not requiring authentication ('No signup or API key required'), which helps the agent understand access requirements. However, it doesn't disclose other behavioral traits like rate limits, pagination, or what happens when no blueprints are available. The description compensates partially but leaves gaps.

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 highly concise and well-structured, consisting of two sentences that efficiently convey the tool's purpose, return value, and key behavioral context. Every sentence adds value: the first states what the tool does and returns, and the second provides important access information. There is no wasted language or redundancy.

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 the tool's complexity (simple list operation with 0 parameters) and the absence of annotations and output schema, the description is moderately complete. It covers the purpose, return type ('catalog'), and authentication context, but it lacks details on output format, error handling, or performance characteristics. For a tool with no structured fields to rely on, the description should do more to be fully complete.

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 has 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics, and it appropriately avoids discussing parameters. A baseline score of 4 is applied for zero-parameter tools, as the description focuses on the tool's purpose and behavior without unnecessary parameter details.

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's purpose with specific verbs ('List available free AI agent blueprints') and identifies the resource ('pre-built blueprints for common business processes'). It distinguishes from the sibling 'get_blueprint' by indicating this is a catalog/list operation rather than retrieving a specific blueprint. However, it doesn't explicitly contrast with the sibling beyond the implied difference between 'list' and 'get' operations.

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 some usage context by mentioning 'No signup or API key required,' which implies when this tool can be used (without authentication). However, it doesn't explicitly state when to use this tool versus the sibling 'get_blueprint' or provide clear alternatives. The guidance is implied rather than explicit.

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