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 does not mention side effects, return format, or any constraints (e.g., whether it modifies systems or just generates a document). The agent has no idea what happens after invocation, making this a significant gap.

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 sentence, which is concise and front-loaded with the action. However, it is overly terse and omits critical information that would fit naturally in a slightly longer description, so it doesn't earn a higher score for structure.

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 has 4 parameters, 0% schema coverage, no output schema, and no annotations, the description is severely incomplete. An agent cannot determine how to construct valid inputs or what to expect as output, making it nearly unusable without additional context.

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 0%, and the description provides no explanation for any of the four parameters (systems, problem, entities, primarySourceOfTruth). It does not compensate for the lack of schema documentation, leaving the agent to guess what each parameter means and how to populate them.

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 states a specific verb ('Generate') and resource ('GTM data-layer blueprint') and includes a conditional clause ('when systems mirror state, drift, or lack explicit ownership') that distinguishes it from sibling tools like compare_tools or recommend_stack. However, it doesn't elaborate on what a 'data-layer blueprint' entails, so it's clear but not fully detailed.

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 a condition for when to use the tool ('when systems mirror state, drift, or lack explicit ownership'), which gives some context for selection. It does not name alternative tools or explicitly state when not to use it, leaving the agent to infer from sibling names.

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