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auram-stone

Feather MCP Server

by auram-stone

search_leads

Identify potential leads on Facebook by querying keywords, groups, or interests. Select a source and limit to get targeted results.

Instructions

Search for potential leads by keywords, groups, or interests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of leads to return
queryYesSearch query: keywords, group names, or interests
sourceNoWhere to search for leads: groups, pages, or general search

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
leadsYesMatching leads
totalFoundYesTotal leads found
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action (search) but does not describe side effects, limitations, or return behavior, leaving the agent without sufficient safety or operational context.

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

Conciseness5/5

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

The description is a single concise sentence that is front-loaded with the core action. Every word earns its place, and the structure is easily scannable.

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

Completeness3/5

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

The description covers the core purpose and the schema fully documents parameters, but the lack of usage guidance and behavioral transparency makes it incomplete for an agent to select and invoke confidently. The presence of an output schema reduces the need to explain return values.

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

Parameters3/5

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

The input schema has 100% description coverage for all three parameters, so the baseline is 3. The description paraphrases the query parameter (keywords, groups, interests) but adds no additional meaning beyond the schema.

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 clearly states the tool searches for potential leads using keywords, groups, or interests. It identifies a specific verb and resource, though it does not explicitly distinguish it from sibling tools like list_contacts.

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

Usage Guidelines3/5

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

No explicit guidance is provided about when to use this tool versus alternatives. The purpose implies it is for finding potential leads, but there are no exclusions or alternative mentions.

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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