AgentPMT - Marketplace For Autonomous Agents

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

The description does not disclose any behavioral traits, such as side effects (e.g., ticket creation), permission requirements, or response type. With no annotations, the description fails to provide essential 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but sacrifices necessary detail. It is front-loaded but does not earn its place as it provides minimal value beyond the tool name.

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 lack of annotations, output schema, and parameter descriptions, the description is incomplete. It does not explain the outcome of reporting or how to correctly fill parameters, leaving the agent underinformed.

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 0% and the description adds no information about the parameters. The agent receives no guidance on what values to provide for 'tool_name', 'error_message', or 'recommended_improvements'.

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 verb 'Report' and the resource 'issue with a tool'. It is specific enough to differentiate from siblings like 'AgentPMT-Send-Human-Request', though it could be more explicit about the type of issues (e.g., bugs vs. feature requests).

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 guidance is provided on when to use this tool versus alternatives. The sibling tools are listed but not compared. There is no mention of prerequisites or when not to use this tool.

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

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

With no annotations provided, the description carries the full behavioral burden and does so thoroughly. It discloses delivery channels, approval side effects for each request_type, return fields (mobile_request_id, approval_required), the polling loop with terminal statuses, and that notification_only never requires approval. It also states the tool is free and requires no credentials.

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 long but appropriate for a complex multi-action tool, and it is front-loaded with purpose before usage details. Every sentence adds operational value, covering delivery, actions, side effects, polling, and constraints without fluff.

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 no annotations, no output schema, and six parameters, the description is complete enough for an agent to invoke the tool correctly. It explains the send/check_response loop, required inputs per request_type, side effects of approval, and the terminal statuses to read before continuing.

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 100%, so the baseline is 3, but the description adds meaningful conditional semantics: id must be a product ObjectId for enable_tool/credential_setup, a workflow ObjectId for enable_workflow, and request is capped at 5000 characters with link/button formatting. It does not explain include_request, but that is well documented in the schema.

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 states a specific verb ('send') and resource ('request or notification to the human who owns your budget'), plus the follow-up action. It clearly distinguishes this tool from siblings like Workflow-Creator or Tool-Search-and-Execution by focusing on human approval requests. An agent can tell what this tool does without opening the schema.

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 gives explicit when-to-use instructions for each action (send vs. check_response) and request_type, including that notification_only must not be polled. It does not name alternate sibling tools or when to prefer those, but for this tool's internal workflow the guidance is clear and actionable.

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

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

No annotations are provided, so the description must convey behavioral traits. It mentions the tool performs multiple actions (discover, search, use) but does not disclose side effects, error handling, or specifics like tool execution behavior.

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 with two sentences. It front-loads the core idea but repeats the title. It is efficient but could be slightly more structured.

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?

Despite the schema providing parameter details, the description lacks context on return values, error handling, and how to effectively use the different actions. For a tool with 9 parameters and multiple actions, the high-level summary is insufficient.

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 coverage is 100%, so baseline is 3. The description does not add additional meaning beyond the schema; it only reiterates the action enum conceptually without explaining parameter relationships.

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 states the tool is a 'unified interface for discovering, searching, and using AgentPMT tools' and mentions avoiding MCP refresh. This clearly indicates the tool's purpose and differentiates it from sibling tools like reporting issues or creating workflows.

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 gives context by saying 'without MCP refresh' and 'Access tools required for workflows and skills here', implying when to use it. However, it does not explicitly state when not to use it or provide direct comparisons to alternatives.

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

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

No annotations are provided, so the description carries the full disclosure burden. Yet it is essentially a feature list—it does not disclose mutation side effects (delete, publish, restore are all destructive), permission/auth requirements, reversibility, or response shape. The only behavioral disclosure is the get_instructions prerequisite. For a tool that can delete and publish workflows, this is a meaningful gap.

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?

Three sentences with the core purpose front-loaded, followed by a compact capability list and a crucial usage directive. No filler or redundancy. It could trim the enumerated actions slightly, but for a tool with 20 actions and 33 params it remains appropriately sized.

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 highly complex tool (20 actions, 33 params, nested objects, no output schema, no annotations), the description gives a solid high-level overview but lacks action-level routing—an agent is left guessing which of the 20 actions fits a given request. The 'call get_instructions' directive partially compensates by deferring detail, but the description itself does not make the tool safely callable without that extra step.

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 100%, so the schema fully documents all 33 parameters with detailed descriptions. The description adds contextual framing (DAG, skill chains, tool catalog) that helps interpret complex params like nodes/edges, but it doesn't explain parameter interplay or action-specific requirements beyond what the schema already provides. Baseline 3 is appropriate.

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 states a clear purpose: building/managing multi-step AI agent workflows (skill chains) as DAG pipelines. It names the resource (workflows), the actions (create, update, publish, remix, search, showcase), and differentiates from siblings by framing itself as the workflow builder/manager. It doesn't explicitly contrast with AgentPMT-Workflow-Skills, leaving some sibling differentiation to inference, so it falls just 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.

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

The description gives one actionable directive: 'Call get_instructions before starting,' which is a useful prerequisite hint for a complex 20-action tool. However, it provides no when-to-use vs when-not-to-use guidance and never names alternatives among the siblings (e.g., when to route to AgentPMT-Workflow-Skills vs this creator). Usage context is implied but not explicit.

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

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing. It hints that the tool can 'initiate and complete' workflows (implying state mutation) but never states that start/end actions mutate workflow state, that end_workflow requires rating/comment or outcome/error fields, or that a workflow must be active before it can be ended. A reader cannot anticipate side effects or authorization needs from the text.

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?

Two short sentences with the tool name front-loaded, so it is not bloated. But the second sentence ('Use to retrieve, initiate, and complete workflows') largely restates the first rather than adding information, and the whole text is drastically under-informative for a 20-parameter, 7-action tool. Concise but not maximally economical or informative.

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 20 parameters, 7 enum actions, conditional required-field sets per action, no annotations, and no output schema, the description is far too thin. It never maps parameters to actions or explains the headless-vs-interactive end_workflow distinction, leaving the agent to reverse-engineer the calling contract from the schema alone. This is inadequate relative to the tool's complexity.

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 100%, so the schema already documents all 20 parameters with per-field descriptions and per-action requirements. The description adds no parameter meaning of its own beyond the generic verb list, so the baseline 3 applies — the schema does all the work here.

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 states a broad verb set (fetch, search, use/retrieve, initiate, complete) over the resource 'workflows and skills', so the general intent is legible. However, it never enumerates the seven distinct actions the schema exposes (search, browse_industry, get_workflow_skill, start_workflow, end_workflow, get_instructions, get_active_workflow), and it does nothing to distinguish this multi-action tool from the sibling AgentPMT-Workflow-Creator. Purpose is understandable but vague for a tool this broad.

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 only usage cue is the generic 'Use to retrieve, initiate, and complete workflows', which is essentially a restatement of the first sentence. There is no guidance on when to choose this tool over AgentPMT-Workflow-Creator or AgentPMT-Tool-Search-and-Execution, and no conditions or exclusions are given. No actionable 'when to use' guidance is present.

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