strale_methodology

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 effectively compensates by detailing the comprehensive nature of the returned methodology (5×5 matrix, 1340 test suites, provenance tracking, current limitations), giving the agent clear expectations about the informational scope and depth of the response.

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 information-dense but well-structured, moving logically from high-level concept (dual-profile model) to specific components (4 factors each, 5×5 matrix) to operational details (test infrastructure, audit trails) to limitations. Every clause adds specific content details without redundancy, though the single-sentence density approaches the limit of optimal readability.

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?

Despite lacking an output schema, the description comprehensively enumerates the methodology components an agent can expect (scoring models, execution guidance, test infrastructure statistics, badge system, limitations). This effectively substitutes for formal output documentation by setting clear expectations about the knowledge base being retrieved.

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 input schema defines zero parameters (empty object). According to calibration rules, 0 parameters establishes a baseline score of 4. The description correctly requires no additional parameter explanation since there are no inputs to document.

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 opens with a specific verb ('Get') and resource ('Strale's quality and trust methodology'), then elaborates extensively on scope: dual-profile scoring model, Quality/Reliability Profiles, SQS confidence score, test infrastructure, and audit systems. It clearly distinguishes from sibling strale_trust_profile by focusing on explanatory methodology rather than specific profile data retrieval.

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 thoroughly documents what content is returned (scoring matrices, test suites, badge systems), allowing agents to infer this is for understanding Strale's evaluation framework. However, it lacks explicit when-to-use guidance or comparison to alternatives like strale_trust_profile (e.g., 'use this to understand scoring methodology, use strale_trust_profile to retrieve specific component ratings').

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