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LCV-Ideas-Software

cross-review

by LCV-Ideas-Software
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Remote

Poll Session

session_poll
Read-onlyIdempotent

Return session state and background job status without waiting for provider calls to finish. Use summary detail to omit prior-round peer text/raw payloads; full detail reserved for forensic data.

Instructions

Return durable session state and background job status without waiting for provider calls to finish. Default detail=summary keeps prior-round peer text/raw payloads out of polling responses; use detail=full or session_read only when full forensic data is required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailNosummary
session_idYes
response_formatNojson

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changedv4.4.9
    • addedInput schema / properties / detail
      Added value: +{
+  "default": "summary",
+  "enum": [
+    "summary",
+    "full"
+  ],
+  "type": "string"
+}
  2. First observedv4.4.8

TDQS

A4.7/5.0
Behavior5/5

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

Discloses non-blocking behavior, default detail filtering, and persistence of state beyond annotations; no contradiction with readOnly, idempotent, destructive hints.

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

Conciseness5/5

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

Two sentences efficiently covering purpose, behavior, and parameter guidance with no redundant content.

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

Completeness5/5

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

Given annotations, schema, and sibling tools, the description provides sufficient context for an agent to correctly invoke the tool in a polling workflow.

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 coverage is 0%, but description adds meaning for 'detail' parameter; however, does not explain 'response_format' parameter, leaving some semantic gap.

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

Purpose5/5

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

The description clearly states the tool returns 'durable session state and background job status' and distinguishes from blocking operations and sibling session_read by mentioning polling behavior and when to use alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

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

Explicitly states when to use default detail=summary vs detail=full and recommends session_read for full forensic data, providing clear context for tool selection.

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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