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mifactory-spec-api

Server Details

Convert docs to agent-readable specs with criteria and constraints. $0.10/convert.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
mifactory-bot/mifactory-spec-api
GitHub Stars
0

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Tool DescriptionsD

Average 2/5 across 2 of 2 tools scored.

Server CoherenceA
Disambiguation5/5

The two tools have clearly distinct purposes: spec_convert transforms documents into specs, while spec_validate checks specs for correctness. There is no overlap in functionality, and an agent can easily differentiate between conversion and validation tasks.

Naming Consistency5/5

Both tools follow a consistent verb_noun naming pattern with 'spec_' as a common prefix (spec_convert, spec_validate). This uniformity makes the tool set predictable and easy to understand, with no deviations in style.

Tool Count2/5

With only two tools, the server feels under-scoped for an API focused on spec handling. While conversion and validation are core functions, typical spec management would benefit from additional tools like spec_retrieve, spec_update, or spec_list to provide more comprehensive coverage.

Completeness2/5

The tool set is severely incomplete for spec management. It lacks basic operations such as retrieving, listing, updating, or deleting specs, which are essential for full lifecycle management. Agents will face dead ends when trying to perform common spec-related tasks beyond conversion and validation.

Available Tools

2 tools
spec_convertCInspect

Convert document to agent-readable spec

ParametersJSON Schema
NameRequiredDescriptionDefault
documentTextYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool performs a conversion but doesn't reveal whether this is a read-only operation, if it modifies data, requires specific permissions, has rate limits, or what the output entails. The description is minimal and fails to compensate for the lack of annotations, leaving key behavioral traits unspecified.

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?

The description is a single, efficient sentence with no wasted words, making it appropriately sized and front-loaded. However, its brevity borders on under-specification, as it could benefit from slightly more detail without losing conciseness, but it earns a high score for being direct and structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (a conversion operation with 1 parameter), lack of annotations, no output schema, and 0% schema description coverage, the description is incomplete. It doesn't explain what an 'agent-readable spec' is, the conversion process, error handling, or return values, leaving significant gaps for the agent to understand and use the tool effectively.

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 0%, so the description must compensate for undocumented parameters. It mentions 'document' but doesn't explain the 'documentText' parameter's semantics, such as expected format, length limits, or content requirements. The description adds minimal value beyond the schema, failing to clarify parameter meaning or usage context adequately.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Convert document to agent-readable spec' states a clear purpose with a specific verb ('convert') and resource ('document'), but it's vague about what constitutes an 'agent-readable spec' and doesn't distinguish from its sibling tool 'spec_validate'. It provides basic direction but lacks specificity about the output format or transformation process.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to use this tool versus its sibling 'spec_validate', nor does it specify prerequisites, input constraints, or alternative approaches. It implies usage for converting documents but leaves the agent to infer context without explicit when/when-not instructions or comparisons.

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

spec_validateDInspect

Validate a spec

ParametersJSON Schema
NameRequiredDescriptionDefault
specYes
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Validate a spec' gives no information about what the tool does operationally: whether it performs read-only checks, modifies data, requires authentication, has rate limits, returns validation results, or what happens on failure. This is a minimal statement with no behavioral 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?

The description is extremely concise with just three words, which is appropriately sized for such a minimal statement. It is front-loaded with the core action but lacks any follow-up detail. While efficient, it borders on under-specification rather than effective brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (1 parameter with nested object, no output schema, no annotations), the description is completely inadequate. It does not explain what validation means, what the input 'spec' should contain, what the output might be, or how it relates to the sibling tool. For a tool with undocumented parameters and no structured guidance, this description provides almost no useful context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description provides no parameter information beyond implying a 'spec' is needed. With 0% schema description coverage and 1 required parameter (an object 'spec'), the description does not explain what a 'spec' is, its expected structure, format, or validation criteria. It fails to compensate for the complete lack of schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Validate a spec' is a tautology that restates the tool name 'spec_validate' with minimal elaboration. It specifies the verb 'validate' and resource 'spec', but provides no differentiation from the sibling tool 'spec_convert' or details about what validation entails. This is a basic restatement rather than a clear purpose definition.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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 when validation is needed, what scenarios require it, or how it differs from the sibling tool 'spec_convert'. Without any context or exclusions, the agent has no usage guidance beyond the tool name.

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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