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Get Workspace Context

get_context
Read-only

Get a snapshot of the current workspace: user info, task counts, recent tasks, and active projects. Use it to resolve a name or answer what is in the workspace, not as a warm-up before every turn.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextYesExplain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization."
timezoneNoIANA timezone used to resolve "today" for views and scheduling (e.g. Australia/Melbourne). Defaults to UTC, which misclassifies Today/Upcoming for users in other timezones, so always pass the user's timezone when known.
workspaceNoWorkspace id, slug, or name
tasks_limitNoMax recent open tasks to return

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamsYes
todayYesToday's date (YYYY-MM-DD) in the requested timezone (UTC when none given)
labelsYes
membersYes
taskCountsYes
viewCountsYes
recentTasksYes
activeProjectsYes

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context by calling it a 'snapshot' and listing what is included, which implies a point-in-time, non-mutating view. It does not add much beyond that, but it also does not contradict the annotations.

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 compact and front-loaded: the first sentence states the tool's purpose and contents, and the second gives usage guardrails. Every sentence earns its place; there is no filler or repetition of schema details.

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?

Given that the tool has annotations covering read-only safety, a fully documented input schema, and an output schema, the description supplies the missing piece: what the snapshot contains and when it should be used. Nothing an agent needs to select or invoke this tool correctly is missing.

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 description coverage is 100%, so the schema fully documents the context, timezone, workspace, and tasks_limit parameters. The description adds no additional parameter-level meaning beyond framing the tool as returning workspace state, so the baseline score of 3 is appropriate.

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 uses a specific verb and resource ('Get a snapshot of the current workspace') and enumerates exactly what the snapshot contains: user info, task counts, recent tasks, and active projects. It also differentiates the tool from likely siblings by framing it as a way to resolve names or answer workspace-level questions, rather than a generic task or project lookup.

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 clear when-to-use guidance: 'Use it to resolve a name or answer what is in the workspace' and explicitly warns against overuse: 'not as a warm-up before every turn.' It does not name a specific alternative sibling, but the positive and negative usage conditions are strong enough for an agent to decide when to call it.

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

A3.6/5.0
Disambiguation4/5

Tools are grouped cleanly by resource (task, checklist, comment, label, project, attachment), so most actions have an obvious owner. The main ambiguities are task_list vs. search and checklist_done vs. checklist_edit, but the descriptions call out the intended boundaries clearly enough to avoid frequent misselection.

Naming Consistency4/5

The dominant resource_verb pattern (task_add, task_edit, checklist_list, comment_remove, project_join) is consistent and predictable. A few outliers like get_context, guide, search, and task_attachment_list break the pattern, but the naming remains readable and mostly uniform.

Tool Count2/5

At 35 tools, this is a very large surface for an agent to choose from and exceeds the 25-tool threshold where count becomes a liability. The tools are well organized, but the repeated verb families across six resources make the total feel heavy even though each tool is plausibly justified.

Completeness4/5

The core task lifecycle is well covered: create, show, edit, list, complete, reopen, archive, assign, and bulk operations, plus full checklist, comment, label, and attachment workflows. Notable gaps are the lack of an explicit unarchive/restore path and no label edit/delete, but these are minor enough that agents can usually work around them.

Resources