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

No annotations are provided, so the description carries the full disclosure burden。 It is transparent about what is computed and that the result is a feasibility judgment (implicitly read-only), but it does not address what happens with missing ions, minimum required inputs, or the shape of the returned values beyond naming the indices。

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 dense sentences that front-load what is calculated and follow with the actionable conclusion。 No filler, no repetition of the schema。

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?

For a 17-parameter tool with no output schema, the description compensates reasonably by enumerating the returned indices and the decision outcome。 The remaining gap is that it never states a minimum viable ion set, which matters because all 17 parameters are optional。

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 100%, so units (mg/L per ion), pH default 7.0, and temperature default 25 are already documented。 The description only restates that inputs are ion composition and adds no extra meaning such as which ions are mandatory or how to handle undetected species。

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 names a specific verb and resource (进水水质分析), lists the exact derived quantities (TDS、渗透压、电导率、LSI/CCPP、碳酸平衡、碱度), and states the decision it supports (能否直接进 RO)。 This clearly distinguishes it from its siblings get_element/list_elements/run_design。

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 second sentence establishes a clear use context: assessing whether a feed water can go straight into RO or needs softening or acid dosing。 However, it never names run_design as the alternative or says when to prefer it, so there is no explicit exclusion or sibling routing。

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