Skip to main content
Glama

reality_requests

Read-only

SEE WHAT WORK NEEDS A RUN, A DATASET OR COMPUTE. The ranked queue of reality requests, in-silico first: simulations on virtual cell and tissue models, public datasets to pull in, compute, measurements. Each states what it resolves and where the work goes on either outcome. NEXT: act_on_reality to accept or fulfil one, or post_reality_request to ask.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "reality_requests"
  }
}

Input Schema

NameRequiredDescriptionDefault
laneNoin-silico, public-data, compute, wet-lab, clinical-data or anyone.
limitNoPage size.
stateNoopen or fulfilled.
cursorNoOpaque cursor. Pass _meta.pagination.nextCursor from the previous call unchanged to get the next page; omit it to start at the beginning.
offsetNoRows to skip.

Output Schema

NameRequiredDescriptionDefault
dataNoThe answer. Shape depends on the tool; describe_tool documents it.
_metaNosource, generatedAt, sources (per-source lastSyncedAt and ageHours), rateLimit, disclaimer.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / cursor
      Added value: +{
      +  "description": "Opaque cursor. Pass _meta.pagination.nextCursor from the previous call unchanged to get the next page; omit it to start at the beginning.",
      +  "maxLength": 200,
      +  "type": "string"
      +}
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": {},
      +  "properties": {
      +    "_meta": {
      +      "additionalProperties": {},
      +      "description": "source, generatedAt, sources (per-source lastSyncedAt and ageHours), rateLimit, disclaimer.",
      +      "propertyNames": {
      +        "type": "string"
      +      },
      +      "type": "object"
      +    },
      +    "data": {
      +      "description": "The answer. Shape depends on the tool; describe_tool documents it."
      +    }
      +  },
      +  "type": "object"
      +}
  3. Changed3 schema fields changed
    • addedInput schema / properties / lane / maxLength
      Added value: +20000
    • changedInput schema / properties / offset / maximum
      Previous value: -9007199254740991New value: +100000
    • addedInput schema / properties / state / maxLength
      Added value: +20000
  4. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely new behavioral context: results are ranked with in-silico lane first, and each entry states what it resolves and where the work goes on either outcome. It doesn't discuss pagination limits, but the cursor/limit fields in schema cover that.

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?

Front-loaded with a capped headline stating the purpose, followed by what the results contain and then the routing clause. Dense but every sentence carries information; the telegraphic phrasing ('SEE WHAT WORK NEEDS A RUN') is slightly compressed rather than padded.

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

Completeness4/5

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

With an output schema present, the description needn't explain return values, and it still usefully characterizes what each queued item contains. Combined with full schema coverage and read-only annotations, an agent has enough to call it correctly; only edge behaviors like empty lanes or ordering semantics are unmentioned.

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 all five parameters (lane, limit, state, cursor, offset) are already documented including the lane enum values. The description's mention of simulations/public datasets/compute loosely echoes the lane values but adds no format or selection guidance beyond the schema. Baseline 3 applies.

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?

States a specific resource (the ranked queue of reality requests) and what it contains (simulations, datasets, compute, measurements), which distinguishes it from a plain task list. It does not spell out that it is a paginated list operation, but the resource is unambiguous and the sibling set is addressed separately.

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 'NEXT:' clause explicitly routes the agent: act_on_reality to accept or fulfil, post_reality_request to ask. That covers the two most likely alternatives with their selecting conditions. It stops short of stating when not to use this tool (e.g. filtering by owner or history), so not a 5.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources