Skip to main content
Glama

Session

session
Destructive

Resolve biological entities, build and inspect knowledge graphs, save/restore sessions, and export provenance for streamlined research workflows.

Instructions

Merged research-session workflow for entity resolution, live graph inspection, persisted graph save/restore via MCP resources, provenance export, and automated planning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesSession workflow step.resolve_entity
queryNoEntity query or planning goal.
hint_typeNoEntity type hint used for resolution.
goalNoExplicit research goal for planning.
depthNoPlanning depth.standard
min_path_lengthNoMinimum path length for unexpected connections. Default 2.
session_idNoSaved session identifier used for restore or explicit save naming.
labelNoHuman-readable label for saved sessions.
mergeNoMerge a restored session into the current live graph instead of replacing it.
Behavior3/5

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

Annotations already indicate destructiveHint=true. Description adds context about merge semantics and MCP resource usage, but does not detail specific behavioral nuances like session persistence boundaries or side effects of each action.

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?

Single sentence is concise and lists key capabilities. Could be more front-loaded with the core purpose, but no wasted words.

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?

For a tool with 9 parameters, 12 actions, and no output schema, the description is too sparse. It does not detail each action's behavior, expected inputs, or outcomes, leaving critical gaps for the agent.

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 does not add additional parameter-level context beyond what the schema already provides.

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 lists multiple capabilities (entity resolution, graph inspection, save/restore, export, planning) but fails to define a single specific verb+resource. It distinguishes from sibling tools as a session management tool, but the purpose is broad and lacks focus.

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?

No explicit guidance on when to use this tool versus sibling tools like find_protein or pathway_analysis. No 'when to use' or 'when not to use' rationale, leaving the agent to infer from the tool's broad functionality.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/SachinGawande2003/Heuris-BioMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server