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spences10

mcp-sequentialthinking-tools

by spences10

Return recorded thoughts for a session. Use this to inspect or resume prior reasoning.

get_thinking_history

Retrieve recorded thoughts from a prior reasoning session to inspect or resume work. Filter by branch or session and set a record limit.

Instructions

Return recorded thoughts for a session. Use this to inspect or resume prior reasoning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum records to return; default 50
branch_idNoOptional branch filter
session_idNoHistory bucket to inspect

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.1

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. It implies a read operation ('Return', 'inspect') but says nothing about ordering, truncation, default limits, or what a returned thought record looks like — for a history-retrieval tool with zero annotation coverage this is a meaningful gap.

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?

Two short front-loaded sentences with no padding. The first sentence duplicates the title verbatim, which is mildly redundant rather than wasteful, so it stays efficient overall.

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

Completeness3/5

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

For a simple three-parameter read tool whose schema is fully documented, the description is adequate but thin. With no output schema, it never describes the shape or content of returned thought records, leaving the agent to discover the return format empirically.

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%, documenting limit, branch_id, and session_id, so the baseline is 3. The description adds no meaning beyond the schema — it does not explain how branch_id interacts with session_id or what the limit default means in practice.

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 Guidelines3/5

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

'Use this to inspect or resume prior reasoning' gives implied usage context, but there is no explicit when-not guidance and no mention of the alternative clear_thinking_history or sequentialthinking_tools. The agent must infer which tool to pick.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.