Skip to main content
Glama

Log a project decision or learning

log_project_decision

Record something future teammates working this project must inherit: a decision, a learning, a preference, or a constraint. Use this whenever you make a judgement call that a later agent would otherwise have to re-litigate. API reference: https://tango.applayer.io/docs/api/tools/log_project_decision

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo
clientNo
detailNo
projectNoName or @handle of the project. Fuzzy-resolved.
summaryYes
task_idNoTask this came out of, if any. Id or task URL.
client_idNo
project_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=false, so the agent knows this is a non-destructive write. The description adds the useful framing that entries are inherited by future teammates, but says nothing about permissions, dedup/append behavior, or whether prior entries are mutated.

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?

Two tightly written sentences that front-load the purpose, followed by the usage trigger. The trailing API-reference URL is the only borderline element and is plausibly useful rather than padding.

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?

For an 8-param, 1-required write tool with no output schema and thin annotations, the description covers what it does and when to call it but leaves most parameter semantics and any return/confirmation behavior unstated. Adequate but with clear gaps.

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 coverage is only 25% (6 of 8 params undocumented), and the description compensates only partially by naming the four kind values, which the enum already lists. It gives no guidance on summary vs detail, client vs client_id/project vs project_id, or task linkage, so it adds marginal value over 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 (record/log) and resource (project decision) and enumerates the four content kinds (decision, learning, preference, constraint), which matches the kind enum. It implicitly differentiates from the project-scoped sibling set by saying 'working this project', but never names the closest alternatives like log_client_decision or update_project_decision.

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?

'Use this whenever you make a judgement call that a later agent would otherwise have to re-litigate' gives a clear, concrete trigger condition. It stops short of naming when NOT to use it or which sibling handles client-level decisions, so it is clear context without explicit alternatives.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources