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Glama

bulk_author

Create, update, or delete multiple Author records in one request, avoiding repetitive single-record admin operations.

Instructions

Perform bulk operations on Author: create, update, or delete multiple items.

For 'create': items is a list of data objects For 'update': items is a list of {id, data} objects For 'delete': items is a list of IDs

Input Schema

NameRequiredDescriptionDefault
itemsYesItems to process (format depends on operation)
operationYesThe bulk operation to perform

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses what each operation does and the shape of the input, but never warns that 'delete' is destructive/irreversible, whether bulk operations are atomic or partially applied on failure, or what permissions/rate limits apply.

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?

Short, front-loaded, and organized as a header sentence followed by three operation-specific lines. Efficient with little waste, though the per-operation formatting could be slightly tighter.

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?

For a mutation tool with no annotations and no output schema, the definition covers inputs well but omits key behavioral context: error/partial-failure handling, result format, and whether deletes are recoverable. Adequate but with clear gaps for a bulk write tool.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3, but the description goes beyond it: the schema only says items format 'depends on operation', while the description spells out the exact payload per operation (data objects / {id, data} / IDs). That is genuine added meaning over the structured field.

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?

The description states a specific verb+resource (bulk operations on Author) and enumerates the three supported operations, so the agent knows exactly what it does. It does not explicitly name the singular siblings (create_author, update_author, delete_author) it competes with, but the 'bulk' framing strongly implies the distinction.

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?

Usage context is implied: this is the multi-item counterpart to the singular create/update/delete_author tools. However, there is no explicit 'use this instead of create_author when processing many records' guidance, and no exclusions or prerequisites (e.g., max batch size, auth needs) are stated.

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