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Glama

backfill_game_details

Add mate scores and best-line (PV) data to previously analyzed games so game retrieval shows them; re-searches only costly moves and near-decided positions in batches until none remain.

Instructions

Add mate scores and best-line (PV) data to games analysed before they were stored, so get_game can show them. Re-searches only costly moves and near-decided positions; stored evaluations never change. Works in batches: call again until backfill_pending is 0.

Input Schema

NameRequiredDescriptionDefault
usernameYes
batch_sizeNo
max_secondsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and discloses important traits: only costly moves and near-decided positions are re-searched, stored evaluations are never changed, and the operation works in batches. It omits permissions, resource limits, and interruption behavior, but the core mutation behavior is well described.

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 sentences, front-loaded with purpose, then behavioral constraints, then the batching loop. Every sentence adds distinct information with no redundancy.

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 are no annotations and no output schema, and the input schema lacks parameter descriptions. The description covers purpose, core behavior, and batching well, but leaves significant gaps around parameter semantics and does not explain what backfill_pending is or where it is returned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain username, batch_size, and max_seconds. It only hints at batching and mentions an external backfill_pending value; it never explains the required username or the meaning/impact of max_seconds.

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 action: add mate scores and best-line (PV) data to previously analysed games so get_game can display them. This clearly distinguishes the tool from siblings like analyze_games or sync_games by scoping it to historical backfill rather than new analysis or syncing.

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?

It explains the core use case — enriching old games so get_game can show missing details — and gives an explicit operational loop: call again until backfill_pending is 0. It does not name alternatives or when-not-to-use cases, but the intended context is clear.

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