covams_metabolite_id
Identify drug metabolites by mass shift matching (Phase I and Phase II).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| drug_smiles | Yes | ||
| metabolite_peaks | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Identify drug metabolites by mass shift matching (Phase I and Phase II).
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | ||
| drug_smiles | Yes | ||
| metabolite_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, and it discloses very little: only that matching is mass-shift based and covers Phase I/II transformations. It says nothing about required input formats, whether an api_key is needed, mass tolerance/adduct assumptions, or limitations of the approach.
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 tight sentence with no filler, and the key information (identification method and phase scope) is front-loaded. It is efficient, though its brevity is partly a symptom of missing detail rather than disciplined editing.
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?
An output schema exists so return values need not be described, but for a 3-parameter tool with zero schema descriptions and no annotations, the definition omits critical call-time context: input formats, authentication, and matching assumptions. An agent could not reliably invoke this correctly from the description alone.
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% across three parameters, so the description should compensate but does not. It never explains that drug_smiles expects a SMILES string or what the metabolite_peaks array should contain (formats, units, tolerance), leaving two required parameters effectively 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 (Identify) and a specific resource (drug metabolites) plus the underlying technique (mass shift matching) and scope (Phase I and Phase II). It is clear enough to distinguish from generic siblings like covams_identify or covams_identify_batch, though it never names those alternatives explicitly.
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 indication of when to use this tool versus siblings such as covams_identify, covams_identify_batch, or covams_analyze_unknown, and no prerequisites or exclusions are stated. The agent must infer positioning from the name alone.
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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