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get_rebuttal_disagreement_prompt

Draft a polite, evidence-based rebuttal when disagreeing with a reviewer. Acknowledges concern, explains rationale, cites guidelines, offers compromise.

Instructions

[PRO] Draft a polite, evidence-based rebuttal when disagreeing with a reviewer. Acknowledges concern, explains rationale, cites guidelines, offers compromise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reviewer_requestYes
reason_for_disagreementYes
supporting_evidenceYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The @mcp.tool() decorated handler function that generates a rebuttal disagreement prompt. Takes reviewer_request, reason_for_disagreement, and supporting_evidence as inputs and returns a formatted prompt string for drafting an evidence-based rebuttal.
    @mcp.tool()
    def get_rebuttal_disagreement_prompt(
        reviewer_request: str,
        reason_for_disagreement: str,
        supporting_evidence: str
    ) -> str:
        """
        [PRO] Draft a polite, evidence-based rebuttal when disagreeing with a reviewer.
        Acknowledges concern, explains rationale, cites guidelines, offers compromise.
        """
        return f"""A reviewer has requested {reviewer_request}, but we respectfully disagree
    because {reason_for_disagreement}.
    
    Draft a polite, evidence-based rebuttal that:
    (1) acknowledges the reviewer's concern
    (2) explains our rationale for not making this change
    (3) cites relevant literature or guidelines supporting our approach
    (4) offers a compromise if appropriate (e.g., adding a sentence to the limitations section)
    
    Supporting evidence/references: {supporting_evidence}
    
    Tone: collegial and professional. Never defensive."""
  • server.py:984-984 (registration)
    Registration entry in the pro_tools list that maps the tool name to its description for tool discovery/listing.
    ("get_rebuttal_disagreement_prompt", "Draft evidence-based rebuttal to reviewer"),
Behavior3/5

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

With no annotations, the description carries full burden. It describes the tone and structure of the output, but does not disclose behavioral traits such as whether it generates text, requires permissions, or has rate limits. The output schema exists but is not referenced, missing a chance to clarify return format.

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

Conciseness4/5

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

The description is very short and front-loaded with action and context. However, it lacks any structure for parameter information, which is a significant omission despite overall brevity.

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 tool has three required parameters and no annotations, the description is insufficient. It does not help the agent understand what input to provide or what output to expect (despite an output schema existing). The agent would be underinformed for correct invocation.

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

Parameters1/5

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

Parameter coverage in the schema is 0%, and the description does not mention any parameter meanings or usage. The three required string parameters (reviewer_request, reason_for_disagreement, supporting_evidence) are completely undocumented, leaving the agent without guidance on what values to provide.

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 clearly states the verb 'Draft' and the resource 'a polite, evidence-based rebuttal' when disagreeing with a reviewer. It also lists specific components, distinguishing it from sibling tools like get_peer_review_response_prompt which are broader.

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

Usage Guidelines4/5

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

The description explicitly says 'when disagreeing with a reviewer,' providing clear context for use. However, it does not mention when not to use it or provide explicit alternatives, which would elevate the score to 5.

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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