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Sequential thinking for QA verification with tool recommendations.

sequentialthinking_qa

Breaks down QA verification tasks into sequential thinking steps and provides tool recommendations with confidence scores.

Instructions

Sequential thinking for QA verification with tool recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thoughtYesCurrent thinking step
branch_idNoBranch ID
is_revisionNoIs revision
current_stepNoCurrent step
previous_stepsNoPrevious steps
thought_numberYesCurrent thought number
total_thoughtsYesTotal thoughts
remaining_stepsNoRemaining steps
revises_thoughtNoRevises thought number
available_mcp_toolsYesAvailable tool names
branch_from_thoughtNoBranch from thought
needs_more_thoughtsNoNeeds more thoughts
next_thought_neededYesMore thoughts needed
verification_targetNoWhat is being verified
Behavior1/5

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

With no annotations provided, the description carries full responsibility for disclosing behavior. It fails to mention any side effects, authorization needs, state changes, or output characteristics. The description is purely functional, offering no behavioral insight.

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

Conciseness2/5

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

The description is only one sentence, which is concise but under-specified. It omits critical information, making it insufficient for a tool with 14 parameters and nested objects. Front-loading is irrelevant when so little content exists.

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

Completeness1/5

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

Given the tool's complexity (14 parameters, nested structures, no output schema), the description is woefully incomplete. It does not explain the workflow, how steps relate, or what the tool returns. An agent would lack essential context to use it effectively.

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%, so the baseline is 3. The description adds no additional meaning beyond what the schema already provides, so it neither enhances nor detracts from parameter understanding.

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

Purpose2/5

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

Tautological: description restates name/title.

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 or in what contexts. There is no mention of prerequisites, conditions, or exclusions, leaving the agent without usage direction.

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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