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CovaSyn Chemistry Tools

covadoe_compare_designs

Compare and rank candidate designs for given factors.

Input Schema

NameRequiredDescriptionDefault
goalNoscreening
api_keyNo
factorsYes
max_runsNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, yet it says nothing about whether the operation is read-only, how the api_key is used, or what side effects occur. The output schema covers return values, but safety and auth behavior remain undisclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler or repetition. It is structurally clean, though its extreme brevity contributes to the larger completeness gaps rather than being a model of efficient elucidation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has moderate complexity (four parameters, including nested factor objects) and zero schema descriptions, so the description should supply context the schema lacks. It does not explain factor structure, goal values, or max_runs behavior, leaving the agent under-informed despite the output schema handling return values.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for all four parameters. It only references the required "factors" parameter by name with no structural detail, and says nothing about goal, api_key, or max_runs, leaving most parameters semantically dark.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb pair (compare and rank) and resource (candidate designs), so an agent can distinguish it from generative siblings like covadoe_create_design or covadoe_suggest_design. It does not explicitly name or contrast those alternatives, which keeps it short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no indication of when to use this tool versus alternatives such as covadoe_analyze, covadoe_design_power, or covadoe_find_optimum. The phrase "for given factors" implies a comparison context but provides no exclusions or prerequisites.

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

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