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Glama

now_refresh_history

Scans your Amazon Now order history and rebuilds a local pantry of proven items—what you buy, how often, and when—using read-only access.

Instructions

Scan the user's Amazon Now orders from their amazon.in order history and rebuild the local pantry of proven items (what they buy, how often, when). Read-only on Amazon. Takes ~3 s per 10 orders.

Input Schema

NameRequiredDescriptionDefault
periodNoOrder history range: "last30", "months-3", or a year like "year-2026". Run more than once to cover several years; results merge.months-3

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose two useful traits: read-only on Amazon (no remote mutation) and ~3 s per 10 orders (latency scaling). However, it leaves the local side ambiguous — 'rebuild the local pantry' does not say whether existing local entries are replaced or merged, nor what the call returns once complete.

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?

Three short sentences, front-loaded with the action and resource, then the safety profile, then the cost signal. No filler and no redundancy with the schema.

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

Completeness3/5

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

There is no output schema and no annotations, so the description should close the loop on what the agent gets back (item count, summary, pantry snapshot) and what happens to pre-existing local pantry data. It covers scope, safety and cost but not the result or the overwrite/merge semantics.

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 single period parameter is fully documented in the schema, including its enum-like pattern and the merge-across-runs behavior, so the schema does the heavy lifting. The description adds only the latency scaling (~3 s per 10 orders), which indirectly informs how wide a period to request, but adds no range syntax or default meaning beyond the schema.

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 verb+resource chain: scan amazon.in order history and rebuild the local pantry of proven items. This is clearly distinct from now_get_pantry, now_search and now_add_items in substance, but the description never names or contrasts a sibling, so the differentiation is implicit rather than stated.

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?

Usage is only implied — the agent can infer this is the tool to run when the local pantry is empty or stale, but there is no explicit when-to-use statement, no precondition (e.g. account connected), and no pointer to now_get_pantry for reading the result. The multi-run guidance lives in the schema's period description, not here.

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