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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.

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

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already establish readOnlyHint=false and destructiveHint=false, and the description is consistent with both. The description adds that logged items are inherited by future teammates, implying persistence, but it does not disclose side effects like deduplication, overwriting, or whether the record is editable later.

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?

The description is two tight sentences with no wasted words. The core 'what to record' is front-loaded, and the use case is stated immediately.

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 a tool with 8 parameters, no output schema, and low parameter-level schema coverage, the description gives strong purpose and usage context but not enough operational detail to confidently populate optional fields or understand how this relates to update_project_decision and memory_save. It is functional but leaves gaps.

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 only 25%, so the description must compensate, but it adds little param-level meaning. It does clarify the semantics of 'kind' by naming the four categories, yet leaves 'client', 'client_id', 'project_id', 'detail', and 'task_id' without explanatory guidance beyond the sparse schema text.

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?

The description states a specific action ('Record') and names the exact resource: things future teammates must inherit, enumerating decision, learning, preference, and constraint. It is clear enough to distinguish from log_project_event and log_project_issue even though it does not explicitly name them.

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?

The description gives a direct and useful usage rule: use this whenever you make a judgement call that a later agent would otherwise re-litigate. It does not list exclusions or directly compare with sibling tools like memory_save or update_project_decision, but the when-to-use guidance is concrete and actionable.

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

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TDQS

A3.7/5.0
Disambiguation3/5

Most tools target a distinct resource and action, but several adjacent pairs are easy to confuse: add_comment vs add_progress_note, call_executor vs call_integration, log_client_decision vs update_client_context vs memory_save, and list_context_sources vs list_integrations. The descriptions do disambiguate them, but the boundaries are subtle enough that misselection is likely with 81 tools.

Naming Consistency4/5

The overwhelming majority follow a clear verb_noun snake_case pattern (create_task, update_project, list_integrations, set_webhook), and get_/ list_/ create_/ update_ families are predictable. Minor deviations exist: memory_read/memory_save/memory_search invert to object_verb, and bare nouns like whoami, glossary, and security_posture break the pattern, but there is no chaotic casing or mixed conventions.

Tool Count2/5

At 81 tools, this is far above the weight that is comfortable for an agent's tool-selection surface, especially since many tools belong to families that could be consolidated (webhooks, worker keys, project logs, context/memory). Although the domain is broad, the count will overwhelm agents and increase misrouting.

Completeness4/5

The surface is unusually comprehensive: tasks, projects, workers, leases, artifacts, comments, handoffs, webhooks, keys, context, memory, integrations, and support all have create/read/update/delete or equivalent lifecycle coverage. The gaps are minor, such as remove_dependency without a visible add_dependency and no artifact/comment deletion, but agents can work around them.

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