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AIsa SERP — Google

Get Google Jobs Advanced Results by id

get_dataforseo_serp_google_jobs_fetch
Read-onlyIdempotent

Description of the fields for sending a request:

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYestask identifier unique task identifier in our system in the UUID format you will be able to use it within 30 days to request the results of the task at any time

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / id / description
      Previous value: -"Task identifier in UUID format"New value: +"task identifier unique task identifier in our system in the UUID format you will be able to use it within 30 days to request the results of the task at any time"
  2. First observed

TDQS

D1.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered by structured data. The description adds zero behavioral context (no retry semantics, no 30-day expiry note, no auth notes), so it contributes nothing beyond the annotations.

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

Conciseness1/5

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

The single sentence is a content-free stub rather than a concise statement. It is short but earns no place, leaving the agent with no actionable information.

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?

An output schema exists, so return values need not be described, and the single parameter is well documented in the schema. However, the description fails to establish even minimal purpose or usage context, leaving the definition incomplete for selection among dozens of similarly named siblings.

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?

Schema description coverage is 100% and there is only one parameter, whose UUID format and 30-day reuse window are fully documented in the schema. The description adds nothing, but the baseline of 3 is appropriate when the schema does all the work.

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

Purpose1/5

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

The description is a placeholder ('Description of the fields for sending a request:') that says nothing about what the tool does. Any sense of purpose comes entirely from the tool name and title, not the description itself.

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

Usage Guidelines1/5

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

No when-to-use, when-not-to-use, or alternative is mentioned. The agent gets no help distinguishing this fetch-by-id tool from siblings like get_dataforseo_serp_google_jobs_fetch_html or post_dataforseo_serp_google_jobs_submit.

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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