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Augmented-Nature

PubChem MCP Server

search_by_target

Identify compounds tested against a specific biological target (gene, protein, or pathway) and retrieve activity data (e.g., IC50, EC50, Ki) using the PubChem MCP Server.

Instructions

Find compounds tested against a specific biological target

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
activity_typeNoType of activity (e.g., IC50, EC50, Ki)
max_recordsNoMaximum number of results (1-1000, default: 100)
targetYesTarget name (gene, protein, or pathway)

Implementation Reference

  • The handler function that executes the logic for the 'search_by_target' tool. Currently implemented as a placeholder returning a not-yet-implemented message.
    private async handleSearchByTarget(args: any) {
      return { content: [{ type: 'text', text: JSON.stringify({ message: 'Target search not yet implemented', args }, null, 2) }] };
    }
  • Input schema definition for the 'search_by_target' tool, specifying parameters like target, activity_type, and max_records.
    inputSchema: {
      type: 'object',
      properties: {
        target: { type: 'string', description: 'Target name (gene, protein, or pathway)' },
        activity_type: { type: 'string', description: 'Type of activity (e.g., IC50, EC50, Ki)' },
        max_records: { type: 'number', description: 'Maximum number of results (1-1000, default: 100)', minimum: 1, maximum: 1000 },
      },
      required: ['target'],
    },
  • src/index.ts:612-623 (registration)
    Tool registration in the list of available tools, including name, description, and input schema.
    {
      name: 'search_by_target',
      description: 'Find compounds tested against a specific biological target',
      inputSchema: {
        type: 'object',
        properties: {
          target: { type: 'string', description: 'Target name (gene, protein, or pathway)' },
          activity_type: { type: 'string', description: 'Type of activity (e.g., IC50, EC50, Ki)' },
          max_records: { type: 'number', description: 'Maximum number of results (1-1000, default: 100)', minimum: 1, maximum: 1000 },
        },
        required: ['target'],
      },
  • src/index.ts:786-787 (registration)
    Dispatch case in the CallToolRequestSchema handler that routes calls to the search_by_target handler function.
    case 'search_by_target':
      return await this.handleSearchByTarget(args);
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Find compounds' but does not specify whether this is a read-only operation, if it requires authentication, has rate limits, or what the output format might be. For a search tool with zero annotation coverage, this is a significant gap in transparency.

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, clear sentence that efficiently conveys the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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?

Given the lack of annotations and output schema, the description is incomplete. It does not explain what the tool returns (e.g., list of compounds, bioactivity data), potential limitations, or error conditions. For a search tool with no structured output information, this leaves significant gaps in understanding.

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, so the schema already documents all parameters (target, activity_type, max_records) adequately. The description does not add any additional meaning or context beyond what the schema provides, such as examples of target names or activity types, so it meets the baseline for high schema coverage.

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's purpose with a specific verb ('Find') and resource ('compounds tested against a specific biological target'), making it easy to understand what it does. However, it does not explicitly differentiate from sibling tools like 'search_compounds' or 'search_bioassays', which might have overlapping functionality, so it falls short of a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives, such as 'search_compounds' or 'search_bioassays', which are listed as siblings. It lacks explicit context, exclusions, or prerequisites, leaving the agent to infer usage based on the tool 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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