analyze_payload

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds real value beyond that: it discloses that results are 'cautious hypotheses' rather than conclusions and that findings should be persisted elsewhere, which is important framing for interpreting output.

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?

Three short sentences, front-loaded with the core action, followed by outputs and then the scope caveat. No filler; every sentence adds distinct information.

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, so return values need not be spelled out, and the description still summarizes output categories and the reliability caveat. With only two parameters (one optional) and full annotation coverage, the main remaining gap is input format guidance, which is minor.

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%, so the description must carry parameter meaning. It conveys that the second parameter is an optional baseline for diffing, but never states the expected encoding/format of the inputs beyond what the parameter names ('Data Hex', 'Baseline Hex') imply. Partial compensation, not full.

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 ('inspect generic bytes', 'compare a sample with a baseline') and enumerates the outputs it produces (text/integer views, entropy, changed offsets, hypotheses). It also draws a boundary against protocol identification, so an agent can tell this is low-level byte analysis rather than a device/protocol tool like its siblings. Not quite a 5 because no sibling is named directly.

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?

Explicitly says baseline comparison is optional and clarifies the tool's role ('this is analysis, not protocol identification; save validated findings separately'), which implies when to use it and what to do afterwards. It stops short of contrasting against a named alternative tool, which keeps it from a 5.

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