metabolic.simulate

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

No annotations provided, so description carries full burden. It explains the nature of constraints (soft, reversible, no gene deletion) and output types (objective + fluxes vs ranges). Discloses that interaction_constraints apply soft constraints, but does not mention if model is modified or auth requirements.

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 sentences with no redundant information. Front-loads the main verb and resource, then provides constraint and output details efficiently.

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 7 parameters, no output schema, and 1 required param, the description covers the main behavior across methods and constraint types. Could be more explicit about when each method is appropriate, but adequate for a simulation tool.

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 0%, but description adds meaning for key parameters: explains interaction_constraints format, mentions top_n_fluxes and fraction_of_optimum defaults, and connects methods to outputs. However, reaction_list usage is not fully clarified.

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 clearly states it runs multiple simulation methods (FBA, pFBA, FVA, MOMA) on a metabolic model with optional PPI integration. It distinguishes from sibling tools like metabolic.couple_and_test by specifying the core simulation functionality.

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 description implies usage for metabolic simulations but does not explicitly state when to use this tool versus alternatives like metabolic.couple_and_test. No guidance on method selection criteria or when not to use it.

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