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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful context the annotations lack: the detection method and a concrete cost of 2 credits. It does not discuss accuracy limits, minimum text length, or thresholds, so it adds some but not rich behavioral detail.

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?

Two short sentences with the cost front-loaded in parentheses, which is efficient. However the name is needlessly repeated ('Gibberish Detector: Gibberish Detector analyzes...'), wasting the most prominent position on redundant text rather than the differentiator.

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?

An output schema exists and the schema documents the sole input, so the description does not need to explain return values. What is still missing for an agent to call it confidently is routing guidance among the many similar detector siblings; the description is adequate but not complete for this crowded toolset.

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?

There is a single parameter and schema coverage is 100%, with the schema already stating 'Text to analyze (max 10,000 characters)' plus an example. The description adds no further meaning about what kind of text suits the detector or how length affects scoring, so the baseline of 3 applies.

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 and resource ('analyzes text ... to identify nonsensical or randomly generated content') and even names the mechanism (bigram frequency and vowel ratios), so an agent knows exactly what the tool produces. It does not explicitly differentiate itself from near-neighbours like SpamDetector, ContentFilter, or TextLanguage, which keeps it off a 5.

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 statement of when to reach for this tool versus the many sibling detectors (SpamDetector, BotDetector, ContentFilter, TextLanguage) and no exclusions or preconditions. The agent must infer usage entirely from the tool name and the one-line purpose.

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