Rate a lead
set_lead_feedbackTell Ranklybee whether a lead was a good match so scoring improves.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| siteId | Yes | ||
| feedback | Yes | ||
| mentionId | Yes | ||
| projectId | Yes |
set_lead_feedbackTell Ranklybee whether a lead was a good match so scoring improves.
| Name | Required | Description | Default |
|---|---|---|---|
| siteId | Yes | ||
| feedback | Yes | ||
| mentionId | Yes | ||
| projectId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=false, so the safety profile is known. The description adds that the feedback affects scoring, which is useful context, but it does not describe whether feedback can be changed, any auth requirements, or other side effects.
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?
The description is a single, front-loaded sentence with no wasted words. It is concise, though its brevity leaves gaps that hurt other dimensions rather than conciseness itself.
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?
For a mutation tool with four required parameters, zero schema descriptions, and no output schema, the description is far too thin. It does not explain what the identifiers are, how to obtain them, or what happens after feedback is submitted, leaving the agent under-equipped to invoke the tool correctly.
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% and all four parameters are required, so the description must compensate by explaining them. It only vaguely maps to the feedback parameter ('whether a lead was a good match') and provides no meaning for projectId, siteId, or mentionId.
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 states a clear action (provide feedback on a lead's match quality) and outcome (scoring improves), making the tool's basic purpose understandable. However, it does not distinguish this tool from similar sibling tools such as set_lead_favorite, move_lead_stage, or update_lead_reply.
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 guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. The purpose implies it is for feedback on a lead, but the agent receives no routing information among the many lead-related siblings.
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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