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Extend Find Search

extend_find_search

Add more results to a named list on an agent.

Reuses the list's original criteria — does NOT support refinement. If the user wants to narrow the criteria, tell them to start a new list (call start_find_search with a fresh list_name).

Refuses when: no webset on file for the list, a run is already in progress, the per-list cap is already reached, or (sliq mode) the balance can't afford even one more result. When the balance covers fewer than requested, the count is clamped and the result carries a clamp_notice — surface it to the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesThe agent hosting the list.
list_nameYesThe slug the list was created with (visible in the Output tab sub-pill, or via `query_search_results`'s `list_name` column).
additional_countNoHow many more results to fetch (default 20).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / agent_id
      Added value: +{
      +  "description": "The agent hosting the list.",
      +  "type": "integer"
      +}
    • removedInput schema / properties / task_id
      Removed value: -{
      -  "description": "The task hosting the list.",
      -  "type": "integer"
      -}
    • changedInput schema / required
      Previous value: -[
      -  "task_id",
      -  "list_name"
      -]New value: +[
      +  "agent_id",
      +  "list_name"
      +]
  2. First observed

TDQS

A4.8/5.0
Behavior5/5

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

The description discloses meaningful behavioral traits absent from the annotations: criteria reuse, lack of refinement support, specific refusal conditions, and clamp behavior with a `clamp_notice` to surface. This goes well beyond the minimal readOnly/destructive hints and tells the agent what to expect at runtime.

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 densely informative with no filler. It front-loads the core action, then covers exclusions, alternatives, refusal conditions, and edge-case behavior in a compact, logically ordered block that earns each sentence.

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

Completeness4/5

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

For a 3-parameter tool with no output schema, the description covers invocation semantics, failure modes, clamping behavior, and user-facing notices. The only minor gap is that it does not explicitly describe the success return payload, but the tool's purpose and schema make that reasonably inferable.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds value beyond the schema by explaining that additional_count is clamped when balance covers fewer results and that list_name should be a fresh slug when starting a new list. This enriches the static schema definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Add more results to a named list on an agent.' It clearly distinguishes itself from the sibling start_find_search by noting it reuses the list's original criteria and does NOT support refinement, so an agent can tell what this tool is for immediately.

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

Usage Guidelines5/5

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

Provides explicit routing guidance: if the user wants to narrow criteria, tell them to start a new list via start_find_search with a fresh list_name. It also lists concrete refusal conditions, giving clear when-not-to-use context beyond what any schema or annotation conveys.

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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