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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds real values beyond that: it identifies the underlying model and states that the result is a residue-by-residue segmentation into inside / TM-helix / outside runs, which tells the agent what shape of answer to expect. It omits practical constraints (minimum/maximum sequence length, handling of ambiguous residues, runtime cost), which keeps it from a 5.

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?

A single dense sentence that is front-loaded on what the tool returns and then supplies method provenance and output granularity. Every clause carries information; there is no filler or repetition of the tool name.

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 an output schema present and full schema description coverage, the description only needs to convey purpose and method, which it does. The remaining gap is the absence of any cue about input constraints or sibling selection for a tool sitting in a crowded protein-analysis family.

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%, and the schema itself already documents every parameter including the four decoding enum values with their speed/algorithm trade-offs. The description adds nothing parameter-specific beyond the phrase 'decoded residue by residue', 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?

The description names a specific verb+resource ('Transmembrane topology of a protein') and pins down the method (HMM-TM 114-state HMM, JUCHMME/Bagos) and output granularity (residue-by-residue inside/TM/outside runs). It is clear enough to separate from generic siblings like protein_properties, but it never names the closely related alternatives (protein_membrane_profile, protein_signal_peptide) it could be confused with.

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 explicit when-to-use or when-not-to-use guidance and no mention of any alternative tool. The only usage signal is implicit in the method name; an agent must already know the difference between this and protein_membrane_profile or protein_signal_peptide to pick correctly.

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