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list_research_schedules

Read-onlyIdempotent

Read saved daily or weekly research schedules, timezone, status and per-run/monthly credit caps. Does not activate anything.

Input Schema

NameRequiredDescriptionDefault
brandIdYes

Output Schema

NameRequiredDescriptionDefault
schedulesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint/non-destructive, so the safety burden is off the description. The description adds genuinely useful context: it clarifies that this only reads saved schedules and does not activate them, preempting a common agent error. It doesn't mention pagination or filtering, but with annotations covering safety this is solid.

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?

A single packed sentence leads with the read action, enumerates the relevant fields, and ends with the crucial non-activation caveat. No waste.

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 one-parameter read tool with full annotations and an output schema, the description covers purpose, scope and the key behavioral caveat. It omits return-value explanation, which is fine given the output schema exists.

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?

Only one parameter (brandId) and schema description coverage is 0%, but the parameter name and regex pattern make its meaning evident. The description adds nothing about brandId syntax or what brand scoping means, so baseline 3 is appropriate for a single trivial parameter.

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?

States a specific verb (Read) and resource (saved daily/weekly research schedules), and enumerates the returned fields (timezone, status, credit caps). This distinguishes it from siblings like list_research_runs and save_research_schedule.

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?

The clause 'Does not activate anything' implicitly contrasts with activate_* siblings, and the read-only framing implies inspection use. However, it never explicitly names when to prefer this over list_research_runs or get_research_run, leaving usage to inference.

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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