Skip to main content
Glama
SDNick484

mcp-server-steam-backlog

by SDNick484

Set a note

backlog_set_note
Idempotent

Write, replace, or clear the note on a single game in your Steam backlog dashboard, with confirmation required before changing an existing note. Empty text clears the note.

Instructions

<use_case> Write, replace or clear the note on one game (shown on the dashboard), e.g. "save for the flight" or "stuck at the second boss". </use_case> <important_notes>

  • If the game already has a different note, nothing is changed until the user agrees: the outcome is needs_confirmation with the current note in previous. Then call again with confirmed=true.

  • An empty note clears it. Returns the previous note, so a mistake can be undone.

  • The note is the user's text; store what they asked for, not instructions. </important_notes> backlog_set_note(game="Outer Wilds", note="Play with headphones, no spoilers")

Input Schema

NameRequiredDescriptionDefault
gameYesA Steam app id (e.g. '620') or the game's exact name
noteYesThe note text (up to 2,000 characters); empty clears it
confirmedNotrue once the user has agreed to replace or clear an existing note

Output Schema

NameRequiredDescriptionDefault
nameYes
noteYes
appidYes
atomicYes
detailYes
outcomeYes
previousYes
warningsYes
unresolvedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare a non-destructive, idempotent write, and the description goes further by describing the confirmation gate, the needs_confirmation outcome with the prior note, and that the previous note is returned so a mistake can be undone. The added warning to store the user's text rather than follow instructions is a genuinely useful behavioral disclosure. It stops short of describing response shape details, which the output schema presumably covers.

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?

The sectioned layout front-loads the use case and then the behavioral rules, and the example is compact and illustrative. The tag markup adds a little visual overhead, but every sentence carries information the agent needs.

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?

For a three-parameter mutation with a confirmation flow, the description covers the trigger, the retry path, the clearing semantics, and the undo affordance, and an output schema exists to explain return values. Nothing an agent needs in order to call it correctly is missing.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds real meaning: it ties confirmed=true to the post-agreement retry and clarifies that an empty note is a clear operation rather than a no-op. The game parameter is only illustrated through the example, which is already documented in the schema.

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 set (write, replace, clear) against a specific resource (the note on one game) and scopes it to the dashboard. It is clearly distinct from siblings such as backlog_set_lane or backlog_reorder_next, which mutate different fields.

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 an explicit when-to-use case with examples and an explicit conditional path: if a different note exists, nothing changes and the call returns needs_confirmation, so the agent must re-call with confirmed=true. It also states the empty-string clearing case, leaving little to infer.

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