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Glama

knowl_timeline

Read-only

Trace an item's assertion history to reveal what it previously claimed, when, and what superseded it, resolving contradictions about whether a fact changed.

Instructions

Read one item's immutable assertion history: what it claimed, when, and what superseded it. Use when memory looks contradictory or you need to know whether a fact changed -- knowl_query answers what it says now, this answers how it got there.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoNoDo this as another repo in this workspace, named as the manifest names it. Use when you are finishing THAT repo's work from here: the call applies to its store exactly as if you had run it there, so you read that repo's history rather than this one's. This tool only reads; nothing about naming a repo here writes to it. Omit it -- the normal case -- and everything applies here.
itemIdYesKnowledge item ID, as returned by knowl_query.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv5.23.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, covering the safety profile. The description adds useful context about the immutable nature of the history and what the response contains ('what it claimed, when, and what superseded it'), which goes beyond the structured annotations.

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 with zero waste. The core purpose is front-loaded first, and the usage guidance comes in the second sentence. Every word earns its place.

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?

The tool is a simple read operation with no output schema, and the description explains what will be returned and when to use it. The only minor omission is behavior for edge cases like a missing item, but this is not critical given the tool's simplicity and annotations.

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 schema fully documents both repo and itemId. The description implies itemId through 'one item' but adds no new syntax or format details beyond the schema. Baseline 3 is appropriate.

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 states a specific verb and resource: 'Read one item's immutable assertion history...' and explicitly differentiates from knowl_query by contrasting 'what it says now' vs 'how it got there.' This clearly distinguishes it from siblings.

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?

It gives explicit conditions: 'Use when memory looks contradictory or you need to know whether a fact changed,' and names the alternative (knowl_query) with a clear delineation of when each is appropriate. This is exactly the kind of when/when-not guidance expected.

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