analyze_context

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

With no annotations, the description must carry the full behavioral burden, but it only adds the whitelist/domain concept. It does not disclose what flags are tunable in effect (leetspeak detection, unicode normalization, confidence thresholds), whether results are scored, or how whitelisted terms are treated, leaving the mutation-free analysis behavior largely opaque.

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?

It is a single, front-loaded sentence with no filler, which is good. However, the brevity is under-specification rather than disciplined concision, given the tool's eight parameters and complex behavior.

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?

With no annotations, no output schema, eight parameters, and only 63% schema coverage, the description should explain return values, default behaviors, and the whitelist mechanism. It does none of these, leaving the agent unable to predict outcomes.

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 coverage is 63% and the description only illuminates the 'domain' parameter via the whitelist mention. Key parameters (contextWindow, confidenceThreshold, caseSensitive, detectLeetspeak) get no explanatory value from the description, so it fails to compensate for the coverage gap on an 8-parameter tool.

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 verb ('Analyze') and resource ('text') but 'analyze' is generic and never says what analysis is produced (profanity matches? risk score?). The 'context awareness / domain-specific whitelists' phrase hints at filtering while allowing domain-specific exceptions, but it does not distinguish this tool from siblings like check_profanity or validate_content.

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?

There is no guidance on when to use this tool versus analyze_corpus, check_profanity, compare_strictness, or detect_obfuscation. The only implicit cue is 'domain-specific whitelists,' which is not enough to disambiguate among eight related analysis tools.

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