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AGL Agency Capacity

Client context file template

client_context_template
Read-onlyIdempotent

Returns a fill-in template for a 1-file client context document (goals, voice, claims rules, priorities, approvals, decisions) for a service line. Use when the user wants AI tools or new teammates to stop needing a client re-brief.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_nameNoOptional client name to put in the title.
service_lineNogeneral, seo, paid_media, content, lifecycle, or automation. Default general.

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=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description usefully adds that the output is a fill-in template scoped to a service line and lists its sections, but says nothing about size, format, or whether the service line changes content. With annotations carrying the safety burden, this is mid-range added context.

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 sentences, with the core purpose front-loaded before the usage cue. The parenthetical section list is dense but each item earns its place by telling the agent what the artifact contains. Slightly list-heavy, but no wasted sentences.

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?

There is no output schema, so the description does the work of describing the return value by enumerating the template's sections (goals, voice, claims rules, priorities, approvals, decisions). Combined with the service-line scoping, an agent knows what it will get. Minor gaps: nothing about length or format of the returned template.

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% and the one enum's values are listed in the schema, so the schema does the heavy lifting. The description only echoes the service-line scoping ('for a service line') and never mentions client_name or the string length bound. Baseline 3 is appropriate.

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 and resource ('Returns a fill-in template for a 1-file client context document') and enumerates the exact sections the template covers, which makes the artifact concrete. It does not explicitly differentiate itself from the closely related sibling rebrief_tax, which it only alludes to via 'stop needing a client re-brief', so it stops short of a 5.

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?

Gives a clear usage condition: 'Use when the user wants AI tools or new teammates to stop needing a client re-brief.' That is a real when-to-use signal. It names no explicit alternative (e.g., rebrief_tax or approval_checklist) or exclusion, so it lacks the routing guidance that would earn a 5.

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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