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This connector has been deprecated

This was a duplicate manual listing. Use Summer’s official listing, imported from the official MCP Registry. Summer’s MCP server remains active at https://api.gosummer.ai/mcp. Setup and documentation: https://gosummer.ai/docs/mcp-clients.

Read original revisions of a saved reply

summer_saved_replies_history
Read-onlyIdempotent

Read original revisions of a saved reply.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "company": "<company>",
      "reply": "<reply>"
    },
    "name": "summer_saved_replies_history"
  }
}

Input Schema

NameRequiredDescriptionDefault
replyYes
companyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered by structured data. The description adds nothing beyond that: it says nothing about what a "revision" contains, how many are returned, ordering, or pagination — the only real behavioral questions for a history endpoint remain unanswered.

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

Conciseness3/5

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

A single short, front-loaded sentence with no filler — structurally fine. However, the brevity here reflects under-specification rather than disciplined concision, since no sentence earns extra 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?

No output schema exists, so the description must convey what comes back, and it does not — no indication of revision shape, count, or ordering. For a two-required-parameter, zero-coverage schema with no output contract, the definition is well short of what an agent needs to invoke it confidently.

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

Parameters2/5

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

Schema description coverage is 0%: both required parameters (company, reply) appear only as UUID-formatted strings with no prose. The description does not compensate — it never explains that "reply" is the saved-reply ID whose revisions are being fetched, nor what "company" scopes. With low coverage the description is expected to carry this, and it does not.

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

Purpose3/5

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

The description has a verb ("read") and a resource ("original revisions of a saved reply"), so the general intent is graspable. But it is nearly a verbatim restatement of the title and does not distinguish this from sibling history tools (e.g. summer_guides_history, summer_knowledge_history) or from the adjacent summer_saved_replies_list/save. An agent knows it touches revisions but not precisely what set is returned.

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?

There is no guidance on when to call this versus summer_saved_replies_list or summer_saved_replies_save, and no stated prerequisites (e.g. that the reply must exist / be accessible for that company). The agent must infer usage from the name alone.

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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