Skip to main content
Glama
HefnySco

Tree of Thoughts MCP Server

by HefnySco

explore_with_strategy

Search a thought tree using a chosen strategy (BFS, DFS, beam, or best-first) to identify the strongest reasoning path.

Instructions

Explore a thought tree using a systematic branching strategy (BFS, DFS, beam search, or best-first search)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
treeIdYesThe ID of the tree to explore
strategyYesThe branching strategy to use
beamWidthNoBeam width for beam search strategy (default: 3)
maxThoughtsNoMaximum number of thoughts to explore (default: 100)
stopCriteriaNoOptional stop criteria

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.6.5

TDQS

B3.1/5.0
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 burden of behavioral disclosure. It fails to state whether exploration mutates the tree, triggers evaluation, or merely reads/steps through thoughts, and it says nothing about return values or side effects.

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 a single concise sentence that front-loads the core purpose and enumerates the supported strategies. It is efficiently worded, though it lacks any additional structural elements such as usage notes or examples.

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 five parameters, a nested stop criteria object, no output schema, and no annotations, the description is too sparse. It does not clarify what the tool returns, whether exploration has side effects, or how stop criteria and beam width interact with the chosen strategy.

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?

The schema description coverage is 100%, so the input schema already documents all parameters, including strategy enum values and stop criteria. The description adds no semantic detail beyond what the schema provides, which meets the baseline but does not exceed it.

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

Purpose4/5

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

The description uses a clear verb ('explore'), a specific resource ('thought tree'), and the mode ('systematic branching strategy') with listed strategies. It conveys the tool's function but does not explicitly differentiate it from sibling tools like visualize_tree or get_tree_structure.

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 description implies when to use the tool: when a systematic branching strategy such as BFS, DFS, beam, or best-first is desired. However, it gives no explicit guidance about when not to use it or how it compares to alternative exploration/traversal tools.

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