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paulieb89

PyP6Xer MCP Server

pyp6xer_batch_update

Idempotent

Update multiple project activities in a single call to batch-modify schedule data efficiently.

Instructions

Update multiple activities in a single call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
updatesYesList of {task_code, ...fields} dicts, one per activity to update
cache_keyNoCache key identifying the loaded XER file (set when calling pyp6xer_load_file)default

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations (idempotentHint=true, destructiveHint=false) indicate safe, non-destructive, idempotent behavior. The description adds no further behavioral details (e.g., partial failure handling, return structure, concurrency implications). With annotations present, the description provides minimal extra value beyond stating the operation is a write.

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 sentence of 6 words, efficiently conveying core purpose. It is front-loaded and avoids unnecessary verbiage. However, it could be slightly expanded to improve clarity without losing conciseness.

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

Completeness3/5

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

While the output schema is present (likely documenting return values), the description omits details about how to construct the 'updates' array beyond mentioning 'task_code'. The schema has an empty items object, leaving validation unclear. Given the tool's batch nature, more guidance on error handling or atomicity would improve completeness.

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%; the description of 'updates' already includes format hints ('{task_code, ...fields} dicts'). The tool's description does not add any additional meaning beyond what the schema provides. A baseline of 3 is appropriate as the schema does the necessary work.

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 'Update multiple activities in a single call' clearly states the verb ('Update'), the resource ('activities'), and the key differentiator ('multiple', 'single call'). This distinctively separates it from the sibling tool 'pyp6xer_update_activity', which presumably handles single updates.

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

Usage Guidelines3/5

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

The description implies usage for batch updates but provides no explicit guidance on when to prefer this over alternatives (e.g., 'pyp6xer_update_activity'), nor does it specify prerequisites, limitations, or when not to use it. While the context signals indicate 2 parameters, no usage constraints are mentioned.

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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