Skip to main content
Glama

get_decision_signature

Scans product history to identify ghost initiatives, score fluctuations, and orphan OKRs, helping detect chronic decision patterns and data quality issues.

Instructions

Scan history + index for chronic patterns: ghost initiatives (appear in top-10 in >50% of snapshots but never spec_generated), score whiplash (RICE swings >50% between snapshots → bad data quality), orphan OKRs (OKRs in the index with zero initiatives in the current top-10). Use when a user asks 'which ideas keep getting punted' / 'why does this score keep moving' / 'which OKR has no execution'. Args: window_days (default 30). Returns {ghost_initiatives, score_whiplash, orphan_okrs, summary}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
window_daysNo
Behavior3/5

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

No annotations, so description carries full burden. It states 'scan history + index' implying read-only, but lacks explicit safety confirmation, authorization needs, or performance implications. Adequate but not detailed.

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 cover purpose, patterns, usage examples, and parameter. Every sentence is informative with no redundancy.

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?

Describes return structure {ghost_initiatives, score_whiplash, orphan_okrs, summary} without output schema. Good for a scanning tool but could mention data scope limits or performance.

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?

Mentions 'window_days (default 30)' in description, which adds the default but does not explain its effect on results. Schema already provides type and default, so only marginal value added.

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?

Describes scanning for three specific chronic patterns (ghost initiatives, score whiplash, orphan OKRs) with example user queries, making the tool's purpose highly specific and distinct 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 Guidelines4/5

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

Explicitly lists three user query examples ('which ideas keep getting punted', etc.) that trigger tool usage, but does not mention when not to use or suggest alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kao273183/mk-plan-master'

If you have feedback or need assistance with the MCP directory API, please join our Discord server