PlacePack
Server Details
Generate deterministic placeholder image URLs and packs for docs, staging, testing, and AI agents.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 3.6/5 across 3 of 3 tools scored.
Each tool has a clear, distinct purpose: creating a single image, creating a pack, and listing presets. There is no functional overlap.
All tools follow a consistent verb_noun pattern after the server prefix 'placepack_', making the action and target immediately obvious.
With 3 tools, the server is minimal but covers its intended functionality without being noticeably thin for a focused image-generation service.
The tools cover all core operations for the domain: listing presets, creating a single image, and creating a pack. No obvious gaps or dead ends.
Available Tools
3 toolsplacepack_create_imageCreate a PlacePack image URLBRead-onlyInspect
Validate one size spec and return an embeddable PlacePack image URL, filename, Markdown, and HTML.
| Name | Required | Description | Default |
|---|---|---|---|
| spec | Yes | Size spec such as 800x600.svg, hero:1600x900, or thumb:420x247@2x. | |
| format | No | ||
| bgColor | No | Background hex color, with or without #. | |
| padding | No | ||
| template | No | Label template. Tokens: {alias}, {w}, {h}, {ratio}, {index}, {bg}, {color}. | |
| textColor | No | Label hex color, with or without #. | |
| strokeWidth | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and openWorldHint. The description adds no additional behavioral context such as error handling, validation specifics, or side effects beyond what annotations imply.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that front-loads the key action. Every word is necessary and no extraneous detail is included.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 7 parameters and no output schema, the description is minimal. It lists the return types but lacks detail on output format, error conditions, or parameter interactions, making it adequate but incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 57%, and the description only loosely references the 'size spec' parameter. It does not explain the other parameters beyond what the schema already provides, earning a baseline score.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool validates a size spec and returns an embeddable image URL, filename, Markdown, and HTML. It specifies the action and resource but does not differentiate from sibling tools like placepack_create_pack or placepack_list_presets.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. There is no mention of context, prerequisites, or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
placepack_create_packCreate a PlacePack image pack manifestBRead-onlyInspect
Validate multiple size specs or one preset and return a manifest of generated PlacePack image URLs. Optionally inline a small SVG ZIP as base64.
| Name | Required | Description | Default |
|---|---|---|---|
| sizes | No | Newline-separated size specs. | |
| format | No | ||
| preset | No | Preset key such as og, developers, automation, or favicon. | |
| bgColor | No | Background hex color, with or without #. | |
| padding | No | ||
| template | No | Label template. Tokens: {alias}, {w}, {h}, {ratio}, {index}, {bg}, {color}. | |
| inlineZip | No | Return a base64 ZIP for SVG packs with at most 10 files. | |
| textColor | No | Label hex color, with or without #. | |
| strokeWidth | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and openWorldHint. The description adds that it validates inputs and optionally inlines a base64 ZIP, which provides some behavioral context beyond annotations, though it does not cover error handling or rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, using two sentences with no unnecessary words or repetition. It could be more structured, but it is efficient and front-loaded with the core purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (9 parameters, no required fields, no output schema), the description adequately covers the primary function but lacks details on prerequisites, output format, or behavior in edge cases like invalid specs.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 67%, so the schema already covers most parameters. The description adds some context (e.g., 'inline a small SVG ZIP' relates to inlineZip) but does not significantly compensate for the 33% of parameters without schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool validates size specs or a preset and returns a manifest of image URLs. It implies a batch operation distinct from single-image creation, but does not explicitly differentiate from the sibling tool 'placepack_create_image'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool vs the alternatives 'placepack_create_image' or 'placepack_list_presets'. The mention of 'multiple size specs or one preset' hints at usage context but lacks direct comparison.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
placepack_list_presetsList PlacePack presetsARead-onlyInspect
Return named PlacePack size presets with labels, specs, and default formats.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true. Description adds return content but omits potential details like number of presets or ordering. Annotations cover safety, so description provides some value beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence with no filler. Front-loaded verb and resource, every word contributes meaning. Ideal conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless, read-only tool with no output schema, the description fully specifies what is returned. Agent has all necessary info to invoke and interpret results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist; schema coverage is 100% via empty schema. Description does not need to add parameter info, and it correctly omits any. Baseline for 0 params is 4, but overall this is ideal.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states verb 'Return', resource 'named PlacePack size presets', and specifics 'labels, specs, and default formats'. Siblings are create tools, so this read tool is distinct.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Context is clear as a read operation with no parameters. Doesn't explicitly mention when not to use, but given simplicity, it's adequate. Could mention it's for browsing presets before creating packs.
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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