covams_impurity_find
Find and identify impurities by matching against degradation products.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| api_smiles | Yes | ||
| unknown_peaks | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Find and identify impurities by matching against degradation products.
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| api_smiles | Yes | ||
| unknown_peaks | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It discloses that matching is done against degradation products, but says nothing about authentication (the api_key parameter), what happens when no match is found, confidence/reliability of matches, or any constraints on input peaks.
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, front-loaded sentence with no filler or redundancy. It is efficient, though its brevity is partly a symptom of under-specification rather than disciplined concision.
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?
The existence of an output schema relieves the description of explaining return values, but that is the only relief. With zero schema coverage on three parameters, no annotations, and no usage guidance, the definition is too thin for an identification tool operating on structured peak input.
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% for all three parameters, so the description must compensate and does not. It never explains api_smiles (the API structure to match against), unknown_peaks (the peak data to be identified), or api_key, leaving their formats and roles undocumented.
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 gives a specific verb pair ('Find and identify') and resource ('impurities'), plus the matching mechanism ('against degradation products'). This clearly separates it from generic siblings like covams_identify or covams_analyze_unknown, though it never explicitly names an alternative.
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 statement of when to use this tool versus siblings such as covams_impurity_profiling, covams_degradation_predict, or covams_identify. The intended context is only weakly implied by the phrase 'matching against degradation products'.
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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